- SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications https://github.com/PengyiZhang/SlimYOLOv3
Object Detection in 20 Years: A Survey https://arxiv.org/abs/1905.05055
Recent Advances in Deep Learning for Object Detection https://www.arxiv-vanity.com/papers/1908.03673/
基于深度学习的目标检测最新进展（2013-2019） https://mp.weixin.qq.com/s/T6qeaj2K-rfZA7yrkWrhhA
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pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet https://github.com/lzx1413/PytorchSSD
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Single Shot Tracker https://github.com/shijieS/SST
小目标检测论文/相关资源大列表 https://github.com/kuanhungchen/awesome-tiny-object-detection
【CenterNet目标检测】’CenterNet Pro Max - Experiments based on CenterNet (more backbones, TensorRT deployment and mask head)' https://github.com/jinfagang/CenterNet_Pro_Max
Imbalance Problems in Object Detection: A Review https://github.com/kemaloksuz/ObjectDetectionImbalance
基于MediaPipe的手机端实时3D物体检测 https://ai.googleblog.com/2020/03/real-time-3d-object-detection-on-mobile.html https://arxiv.org/abs/2003.03522
【5大目标检测挑战与解决方案】《5 Significant Object Detection Challenges and Solutions》 https://medium.com/m/global-identity?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2F5-significant-object-detection-challenges-and-solutions-924cb09de9dd
卫星图像快速目标检测 https://github.com/CosmiQ/simrdwn
A higher performance PyTorch implementation of Single-Shot Refinement Neural Network for Object Detection https://github.com/luuuyi/RefineDet.PyTorch
【开源目标检测工具包(PyTorch)】’mmdetection - Open MMLab Detection Toolbox' by Multimedia Laboratory, https://github.com/open-mmlab/mmdetection
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. https://github.com/e2crawfo/auto_yolo
https://github.com/yatengLG/SSD-Pytorch
https://github.com/yatengLG/Retinanet-Pytorch
Official Tensorflow implementation of drl-RPN: Deep Reinforcement Learning of Region Proposal Networks (CVPR 2018 paper) https://github.com/aleksispi/drl-rpn-tf
OpenCV 'dnn' with NVIDIA GPUs: 1549% faster YOLO, SSD, and Mask R-CNN | PyImageSearch https://www.pyimagesearch.com/2020/02/10/opencv-dnn-with-nvidia-gpus-1549-faster-yolo-ssd-and-mask-r-cnn/
'CenterNet - An easy to understand and better performance version of CenterNet' https://github.com/FateScript/CenterNet-better
Enriched Feature Guided Refinement Network for Detection，ICCV2019. https://github.com/Ranchentx/EFGRNet
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19) https://arxiv.org/abs/1904.01355 https://github.com/Adelaide-AI-Group/FCOS
Monocular 3D Object Detection https://github.com/kujason/monopsr
Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection https://github.com/ParallelDots/generic-sku-detection-benchmark
PyTorch implementation for MatrixNet object detection architecture. https://github.com/arashwan/matrixnet
This is a pytorch implementation of VoVNet backbone networks as described in the paper An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection. https://github.com/stigma0617/VoVNet.pytorch
YOLOv3 object detection architecture with uncertainty estimation. https://github.com/flkraus/bayesian-yolov3
ThunderNet: Towards Real-time Generic Object Detection https://github.com/ouyanghuiyu/Thundernet_Pytorch
Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters https://github.com/axelBarroso/Key.Net
yolov3 with mobilenet v2 and ASFF https://github.com/ruinmessi/ASFF
Code for calculating the upper bound AP in object detection https://github.com/aliborji/DeetctionUpperbound
Learning RoI Transformer for Detecting Oriented Objects in Aerial Images https://github.com/dingjiansw101/RoITransformer_DOTA
Fast Learning of Temporal Action Proposal via Dense Boundary Generator! https://github.com/TencentYoutuResearch/ActionDetection-DBG
This project is the code for implementing the GridMask augmentation for image classification and object detection. https://github.com/akuxcw/GridMask
The implementation of "Towards accurate one-stage object detection with AP-loss" and its journal version. https://github.com/cccorn/AP-loss
A loss function (Weighted Hausdorff Distance) for object localization in PyTorch https://github.com/HaipengXiong/weighted-hausdorff-loss
Mask-Guided Attention Network for Occluded Pedestrian Detection. (ICCV'19) https://github.com/Leotju/MGAN
This project provides the implementation for DetNAS: Backbone Search for Object Detection. https://github.com/megvii-model/DetNAS
Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection https://github.com/LarryJiang134/Image_manipulation_detection
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving (ICCV, 2019) https://github.com/jwchoi384/Gaussian_YOLOv3
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
https://github.com/becauseofAI/lffd-pytorch
《Accelerating Object Detection by Erasing Background Activations》 https://www.arxiv-vanity.com/papers/2002.01609/
CenterNet: Objects as Points in Tensorflow https://github.com/Stick-To/CenterNet-tensorflow
Feature pyramid network (FPN) with online hard example mining (OHEM) https://github.com/gurkirt/FPN.pytorch1.0
Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection (CVPR2019 Oral) https://github.com/chanyn/Reasoning-RCNN
Lists the papers related to imbalance problems in object detection https://github.com/kemaloksuz/ObjectDetectionImbalance
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection https://github.com/garrickbrazil/M3D-RPN
The PyTorch Implementation of F-ConvNet for 3D Object Detection https://github.com/zhixinwang/frustum-convnet
【AdelaiDet：开源多实例级检测应用工具箱】 https://github.com/aim-uofa/adet
【面向目标检测标注的无人机图像及其YOLO模型】 https://github.com/chuanenlin/drone-net
【Detecto：用5行代码构建计算机视觉/目标检测模型的Python包】 https://github.com/alankbi/detecto
《Evaluating Weakly Supervised Object Localization Methods Right》 https://github.com/clovaai/wsolevaluation
https://github.com/CaptainEven/DenseBox
https://github.com/ruinmessi/ASFF
【Elixir/Phoenix实时目标检测】 https://www.poeticoding.com/real-time-object-detection-with-phoenix-and-python/
【Sightseer：(TensorFlow 1.15)计算机视觉/目标检测最新预训练模型集成库 https://github.com/rish-16/sight
【YOLOv3各框架复现项目汇总(TensorFlow/PyTorch/Keras/Caffe/MXNet)】 https://github.com/amusi/YOLO-Reproduce-Summary
【tf.keras实现的YOLOv3/v2目标检测pipeline】 https://github.com/david8862/keras-YOLOv3-model-set
【PyTorch实现的YOLOv3】 https://github.com/westerndigitalcorporation/YOLOv3-in-PyTorch
【ZazuML：面向实例检测的开源AutoML项目】 https://github.com/dataloop-ai/ZazuML
“目标检测和图像分类算法” https://www.bilibili.com/video/av80558087/
https://github.com/bleakie/CenterMulti
'YOLOv3 Darknet GPU Inference API for Linux' https://github.com/BMW-InnovationLab/BMW-YOLOv3-Inference-API-GPU
【Tensorflow目标检测图形化训练界面 https://github.com/BMW-InnovationLab/BMW-TensorFlow-Training-GUI
【YOLO3的通道剪枝/层剪枝压缩】 https://github.com/tanluren/yolov3-channel-and-layer-pruning
'Strongeryolo-pytorch - Pytorch implementation of Stronger-Yolo with channel-pruning.' https://github.com/wlguan/Stronger-yolo-pytorch
Side-Aware Boundary Localization for More Precise Object Detection https://github.com/open-mmlab/mmdetection
【自动安全帽佩戴检测】’Automatic Hardhat Wearing Detection - Helmet Detection on Construction Sites' https://github.com/wujixiu/helmet-detection
'YOLOv3-complete-pruning - 对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求' https://github.com/coldlarry/YOLOv3-complete-pruning
Learning Lightweight Lane Detection CNNs by Self Attention Distillation https://github.com/cardwing/Codes-for-Lane-Detection
Data Priming Network for Automatic Check-Out - ACMMM 2019 https://github.com/lufficc/DPNet
行人检测(Pedestrian Detection)论文整理 https://github.com/xingkongliang/Pedestrian-Detection
'RFSong行人检测网络 - 重新设计的轻量级RFB进行行人检测，AP达到0.7993，参数量仅有3.1MB，200 FPS' https://github.com/songwsx/RFSong-7993
trident net + refinedet 目标检测 https://github.com/wei-yuma/multitrident
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection. https://arxiv.org/abs/1904.07392 https://github.com/DetectionTeamUCAS/NAS_FPN_Tensorflow
AnchorFreeDetection - list the paper for recently anchor free detector' https://github.com/VCBE123/AnchorFreeDetection
Light-Weight RetinaNet for Object Detection https://github.com/PSCLab-ASU/LW-RetinaNet
视频目标检测文献大列表 https://github.com/ZHANGHeng19931123/awesome-video-object-detection
A Keras implementation of CenterNet with pre-trained model (unofficial) https://github.com/see--/keras-centernet
Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting https://github.com/liuwei16/ALFNet
An mmdetection based implementation of updated Grid R-CNN published on CVPR 2019. https://github.com/STVIR/Grid-R-CNN
Python/YOLOv3自定义对象检测器实战指南 http://emaraic.com/blog/yolov3-custom-object-detector
RetinaNet: how Focal Loss fixes Single-Shot Detection https://towardsdatascience.com/retinanet-how-focal-loss-fixes-single-shot-detection-cb320e3bb0de
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). https://github.com/HRNet/HRNet-MaskRCNN-Benchmark
NAS-FCOS: Fast Neural Architecture Search for Object Detection https://arxiv.org/abs/1906.04423 https://github.com/Lausannen/NAS-FCOS
Some improvements about FCOS (FCOS: Fully Convolutional One-Stage Object Detection). https://github.com/yqyao/FCOS_PLUS
Focal Loss for Dense Rotation Object Detection https://github.com/DetectionTeamUCAS/RetinaNet_Tensorflow_Rotation
https://github.com/javiribera/locating-objects-without-bboxes
https://github.com/jiwei0921/SOD-CNNs-based-code-summary-
https://arxiv.org/abs/1906.08764
YOLOv3-model-pruning - 对 YOLOv3 做模型剪枝（network slimming），对于 oxford hand 数据集，模型剪枝后的参数量减少 80%，Infer 的速度达到原来 2 倍，mAP 基本不变
https://github.com/Lam1360/YOLOv3-model-pruning
Grid R-CNN Plus: Faster and Better https://github.com/STVIR/Grid-R-CNN
https://github.com/avanetten/simrdwn
https://github.com/gjy3035/C-3-Framework
This repository is the pytorch implementation for the crowd counting model, LSC-CNN, proposed in the paper - Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection. https://github.com/val-iisc/lsc-cnn
PyTorch codes for our paper "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
https://github.com/ppengtang/pcl.pytorch
【目标检测】CornerNet: Detecting Objects as Paired Keypoints https://github.com/wenguanwang/DHF1K 本文是密歇根大学发表于ECCV 2018的工作。当前的目标检测算法大多基于Anchor，引入Anchor容易导致正负样本不均衡和引入更多超参数。本文在不采用Anchor的前提下取得了不错效果，是一篇非常有意思的探索工作。具体来说，论文借鉴了人体关键点检测的思路来做目标检测，通过检测目标框的左上角和右下角两个关键点就能得到预测框。其次，整个检测网络训练是从头开始的，且不基于预训练的分类模型，这使得用户能够自由设计特征提取网络，不用受预训练模型的限制。
This is a tensorflow implementation of R2CNN++: Multi-Dimensional Attention Based Rotation Invariant Detector with Robust Anchor Strategy. https://arxiv.org/abs/1811.07126 https://github.com/DetectionTeamUCAS/R2CNN-Plus-Plus_Tensorflow
Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)
https://github.com/cherubicXN/afm_cvpr2019
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features https://github.com/mihaidusmanu/d2-net
(Python/OpenCV)Mask RCNN自动车牌识别系统 https://github.com/ria-com/nomeroff-net
YOLOv3/Darknet实现SOTA的Logo检测 https://platform.ai/blog/page/7/new-state-of-the-art-in-logo-detection-using-yolov3-and-darknet/
Code of Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (CVPR2019) https://github.com/wuzhe71/CPD
DSFD implement with pytorch https://github.com/yxlijun/DSFD.pytorch
Code for bottom-up object detection by grouping extreme and center points https://github.com/xingyizhou/ExtremeNet
Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/ https://github.com/MaybeShewill-CV/lanenet-lane-detection
Spatial CNN for traffic lane detection (AAAI2018) https://github.com/XingangPan/SCNN
FCOS: Fully Convolutional One-Stage Object Detection https://github.com/tianzhi0549/FCOS https://github.com/DetectionTeamUCAS/FCOS_GluonCV
CenterNet is a framework for object detection with deep convolutional neural networks. https://github.com/Duankaiwen/CenterNet
Codebase for AAAI2019 "M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network"
https://github.com/qijiezhao/M2Det
FashionAI Key Points Detection using CPN model in Pytorch https://github.com/gathierry/FashionAI-KeyPointsDetectionOfApparel
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow https://github.com/Qidian213/deep_sort_yolov3
Fast Online Object Tracking and Segmentation: A Unifying Approach http://www.robots.ox.ac.uk/~qwang/SiamMask/
Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro https://github.com/qiaoguan/Person-reid-GAN-pytorch
Codebase of the paper "Feature Intertwiner for Object Detection", ICLR 2019 https://github.com/hli2020/feature_intertwiner
High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019 https://github.com/liuwei16/CSP
Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h). https://github.com/HRNet/HRNet-Object-Detection
https://github.com/yangxue0827/R2CNN_FPN_Tensorflow
https://github.com/yihui-he/KL-Loss
https://github.com/OceanPang/Libra_R-CNN
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Detection and Localization | KITTI https://github.com/Zengyi-Qin/MonoGRNet
Pytorch implementation of Bi-box Regression for Pedestrian Detection and Occlusion Estimation (ECCV2018) https://github.com/rainofmine/Bi-box_Regression
车道检测 https://github.com/amusi/awesome-lane-detection
[ECCV 2018] Spatial-Temporal Memory Networks for Video Object Detection https://github.com/fanyix/STMN
PyTorch实现的Detectron目标检测 https://github.com/adityaarun1/Detectron.pytorch
PyTorch实现的Yolo3 https://github.com/zhanghanduo/yolo3_pytorch
深度学习目标检测文献列表(技术路线) https://github.com/hoya012/deep_learning_object_detection
【目标检测】Gradient Harmonized Single-stage Detector 本文是香港中文大学发表于AAAI 2019的工作，文章从梯度的角度解决样本中常见的正负样本不均衡的问题。从梯度的角度给计算loss的样本加权，相比与OHEM的硬截断，这种思路和focal loss一样属于软截断，文章设计的思路不仅可以用于分类loss改进，对回归loss也很容易进行嵌入。不需要考虑focal loss的超参设计问题，同时文章提出的方法效果Focal Loss更好。创新点相当于FL的下一步方案，给出了解决class-imbalance的另一中思路，开了一条路，估计下一步会有很多这种方面的paper出现。 https://github.com/libuyu/GHM_Detection https://www.paperweekly.site/papers/2654
Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection https://github.com/yihui-he/softer-NMS
Code for my master thesis: Vehicle Detection and Pose Estimation for Autonomous Driving https://github.com/libornovax/master_thesis_code
目标识别神经网络评价 https://github.com/Cartucho/mAP
Crack-pot: Autonomous Road Crack and Pothole Detection https://github.com/sukhad-app/Crack-Pot
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590). https://github.com/vacancy/PreciseRoIPooling
Faster R-CNN and Mask R-CNN in PyTorch 1.0 - Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch. https://github.com/facebookresearch/maskrcnn-benchmark
The implementation of “Gradient Harmonized Single-stage Detector” published on AAAI 2019. https://github.com/libuyu/GHM_Detection
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers https://github.com/reu2018DL/YOLO-LITE
目标识别最新综述 https://www.paperweekly.site/papers/2461
SimpleDet：简单、通用的目标检测/实例识别框架 https://github.com/TuSimple/simpledet
BoxCars Fine-Grained Recognition of Vehicles https://github.com/JakubSochor/BoxCars
https://github.com/cvpaperchallenge/FashionCultureDataBase_DLoader
Faster RCNN model in Pytorch version, pretrained on the Visual Genome with ResNet 101 https://github.com/shilrley6/Faster-R-CNN-with-model-pretrained-on-Visual-Genome
【Detecto：PyTorch目标检测库】 https://github.com/alankbi/detecto
《YOLOv4: Optimal Speed and Accuracy of Object Detection》 https://github.com/AlexeyAB/darknet
【YOLOv4的PyTorch最小化实现】’Pytorch-YOLOv4 - Minimal PyTorch implementation of YOLOv4' https://github.com/Tianxiaomo/pytorch-YOLOv4
https://github.com/imadelh/Object-Detection_MobileNetv3-EfficientDet-YOLO
https://weibo.com/ttarticle/p/show?id=2309404508895014945128 https://github.com/Scalsol/mega.pytorch https://arxiv.org/abs/2003.12063
【MantisShrimp：面向应用的目标检测框架】 https://github.com/lgvaz/mantisshrimp
《Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3》 https://gitlab.com/irafm-ai/poly-yolo
End-to-End Object Detection with Transformers https://github.com/facebookresearch/detr
【Transformers端到端目标检测DETR用户界面(100% Python)】 https://github.com/plotly/dash-detr
《DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution》 https://github.com/joe-siyuan-qiao/DetectoRS
《YOLOv5 is Here: State-of-the-Art Object Detection at 140 FPS》 https://blog.roboflow.ai/yolov5-is-here/ https://blog.roboflow.ai/how-to-train-yolov5-on-a-custom-dataset/ https://colab.research.google.com/drive/1gDZ2xcTOgR39tGGs-EZ6i3RTs16wmzZQ#scrollTo=GD9gUQpaBxNa
【DETR(Transformer目标检测)的Colab非官方实现 https://github.com/lessw2020/training-detr
AdelaiDet：开源多实例级检测应用工具箱 https://github.com/aim-uofa/AdelaiDet
https://arxiv.org/abs/1912.03538 https://ai.googleblog.com/2020/06/leveraging-temporal-context-for-object.html https://www.bilibili.com/video/BV1qA411i74v?p=47
【基于yolov3的旋转目标检测】’Rotated-Yolov3 - Arbitrary oriented object detection implemented with yolov3 (attached with some tricks).' https://github.com/ming71/rotate-yolov3
【漫画内容审查条检测器】’Detecting censors with deep learning and computer vision - master' https://github.com/natethegreate/hent-AI
https://github.com/cvg/Hierarchical-Localization
Yet-Another-YOLOv4-Pytorch - YOLOv4 Pytorch implementation with all freebies and specials. https://github.com/VCasecnikovs/Yet-Another-YOLOv4-Pytorch
【YOLOv4的㕛一个PyTorch实现】 https://github.com/WongKinYiu/PyTorch_YOLOv4
建筑立面图像上的门窗检测 http://jcst.ict.ac.cn/EN/10.1007/s11390-020-0253-4 https://github.com/lck1201/win_det_heatmaps
Cascaded Human-Object Interaction Recognition https://github.com/tfzhou/C-HOI
This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.
https://github.com/ZiweiWangTHU/BiDet
[Pedestron] Pedestrian Detection: The Elephant In The Room. On ArXiv 2020 https://github.com/hasanirtiza/Pedestron
The implementation of paper "Gliding vertex on the horizontal bounding box for multi-oriented object detection". https://github.com/MingtaoFu/gliding_vertex
Camouflaged Object Detection, CVPR 2020 (Oral) https://github.com/DengPingFan/SINet
https://github.com/Scalsol/mega.pytorch
Source codes of "CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection" https://github.com/KiveeDong/CentripetalNet
Scale Match for Tiny Person Detection(WACV2020), Official link of the dataset https://github.com/ucas-vg/TinyBenchmark
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights. https://github.com/zylo117/Yet-Another-EfficientDet-Pytorch
Implementation of our CVPR2020 paper Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection https://github.com/ggjy/HitDet.pytorch
"Detection in Crowded Scenes: One Proposal, Multiple Predictions", https://github.com/Purkialo/CrowdDet
Scale-equalizing Pyramid Convolution for object detection https://github.com/jshilong/SEPC
IterDet: Iterative Scheme for Object Detection in Crowded Environments https://github.com/saic-vul/iterdet
https://github.com/facebookresearch/detr
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution https://github.com/joe-siyuan-qiao/DetectoRS
Implementation of 'Learning a Unified Sample Weighting Network for Object Detection' [CVPR 2020] https://github.com/caiqi/sample-weighting-network
CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax. https://github.com/FishYuLi/BalancedGroupSoftmax
Bounding box augmentations for Pytorch https://github.com/harpalsahota/bbaug
The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET) https://github.com/Megvii-Nanjing/CR-DA-DET
code repository of “Rethinking the Route Towards Weakly Supervised Object Localization” in CVPR 2020 https://github.com/tzzcl/PSOL
AugFPN: Improving Multi-scale Feature Learning for Object Detection(CVPR 2020) https://github.com/Gus-Guo/AugFPN
HoughNet: Integrating near and long-range evidence for bottom-up object detection https://github.com/nerminsamet/houghnet
https://github.com/dereyly/mmdet_sota
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object https://github.com/SJTU-Thinklab-Det/r3det-on-mmdetection
This project provides an implementation for "BorderDet: Border Feature for Dense Object Detection" (ECCV2020 Oral) on PyTorch. https://github.com/Megvii-BaseDetection/BorderDet
Pillar-based Object Detection for Autonomous Driving https://github.com/WangYueFt/pillar-od
PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments, https://github.com/clobotics/piou
Reducing Label Noise in Anchor-Free Object Detection https://github.com/nerminsamet/ppdet
YOLO3D: End-to-end real-time 3D Oriented Object Bounding Box Detection from LiDAR Point Cloud (ECCV 2018) https://github.com/maudzung/YOLO3D-YOLOv4-PyTorch
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors https://github.com/yijingru/BBAVectors-Oriented-Object-Detection
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting https://github.com/xhp-hust-2018-2011/SS-DCNet
CenterNet (Objects as Points) implementation in Keras and Tensorflow https://github.com/xuannianz/keras-CenterNet
LabelEnc: A New Intermediate Supervision Method for Object Detection https://github.com/megvii-model/LabelEnc
https://github.com/PaddlePaddle/PaddleDetection
Kinematic 3D Object Detection in Monocular Video https://github.com/garrickbrazil/kinematic3d
TIDE：目标检测错误识别通用工具箱 https://github.com/dbolya/tide
【目标检测的新方法】《New Approaches to Object Detection》 https://towardsdatascience.com/new-approaches-to-object-detection-f5cbc925e00e
无锚目标检测文献/代码列表 https://github.com/XinZhangNLPR/awesome-anchor-free-object-detection
https://github.com/JialeCao001/PedSurvey
3D目标检测相关算法文献集，包括基于RGB图像、立体视觉、点云、融合四种方式 https://github.com/Tom-Hardy-3D-Vision-Workshop/awesome-3D-object-detection
TensorFlow实现的yolov5/yolov4/yolov3/yolo_tiny https://github.com/avBuffer/Yolov5_tf
https://github.com/JosephChenHub/CenterNet-TensorRT
RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder https://github.com/microsoft/RelationNet2
YOLOv5-PyTorch：YOLOv5的PyTorch实现 https://github.com/Okery/YOLOv5-PyTorch
An Overview Of 3D Object Detection https://arxiv.org/abs/2010.15614
YOLODet-PyTorch：端到端基于pytorch框架复现yolo最新算法的目标检测开发套件，旨在帮助开发者更快更好地完成检测模型的训练、精度速度优化到部署全流程 https://github.com/wuzhihao7788/yolodet-pytorch
Scaled-YOLOv4: Scaling Cross Stage Partial Network https://github.com/WongKinYiu/ScaledYOLOv4
libtorch-yolov5：yolov5目标检测算法的LibTorch实现 https://github.com/yasenh/libtorch-yolov5
vedadet：PyTorch单阶段目标检测工具箱 https://github.com/Media-Smart/vedadet
UranusDet：Tensorflow旋转检测基准 https://github.com/yangxue0827/RotationDetection
https://github.com/JDAI-CV/centerX
https://github.com/PeizeSun/OneNet
https://www.arxiv-vanity.com/papers/2101.01909/
Object Detection Made Simpler by Eliminating Heuristic NMS https://github.com/txdet/FCOSPss
Training and fine-tuning YOLOv4 Tiny on custom object detection dataset for Taiwanese traffic' https://github.com/achen353/Taiwanese-Traffic-Object-Detection
https://github.com/hyz-xmaster/VarifocalNet
Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector https://github.com/chengchunhsu/EveryPixelMatters
Kinematic 3D Object Detection in Monocular Video https://github.com/garrickbrazil/kinematic3d
Official code of the paper "Align Deep Features for Oriented Object Detection" https://github.com/csuhan/s2anet
Official PyTorch implementation of Deformable Grid https://github.com/fidler-lab/defgrid-release
Context-aware RCNN: a Baseline for Action Detection in Videos https://github.com/MCG-NJU/CRCNN-Action
https://github.com/VectXmy/FCOS.Pytorch
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection https://github.com/ZHANGHeng19931123/MutualGuide
Differentiable IoU of rotated bounding boxes using Pytorch https://github.com/lilanxiao/Rotated_IoU
Deformable-Attention-for-Deformable-DETR https://github.com/Windaway/Deformable-Attention-for-Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection. https://github.com/fundamentalvision/Deformable-DETR
Detecting Hands and Recognizing Physical Contact in the Wild, NeurIPS 2020. https://github.com/cvlab-stonybrook/ContactHands
Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020 https://github.com/jiaxi-wu/MPSR
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor https://github.com/ispc-lab/RSKDD-Net
Python Framework to calibrate confidence estimates of classifiers like Neural Networks https://github.com/fabiankueppers/calibration-framework
https://github.com/soeaver/Hier-R-CNN
End-to-End Object Detection with Learnable Proposal https://github.com/PeizeSun/SparseR-CNN
End-to-End Object Detection with Fully Convolutional Network https://github.com/Megvii-BaseDetection/DeFCN
https://github.com/PeizeSun/OneNet
This is the implementation of "Scaled-YOLOv4: Scaling Cross Stage Partial Network" using PyTorch framwork. https://github.com/Eric3911/ScaledYOLOv4
Pytorch implementation of "AutoAssign: Differentiable Label Assignment for Dense Object Detection" https://github.com/Megvii-BaseDetection/AutoAssign
This repo is an official implementation for "Fine-Grained Dynamic Head for Object Detection" (NeurIPS2020) on PyTorch framework.
https://github.com/StevenGrove/DynamicHead
CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud, AAAI 2021. https://github.com/Vegeta2020/CIA-SSD
A Tensorflow implementation of the DETR object detection architecture. https://github.com/Leonardo-Blanger/detr_tensorflow
Tensorflow implementation of DETR : Object Detection with Transformers https://github.com/Visual-Behavior/detr-tensorflow
Official implementation of Learning Point-guided Localization for Detection in Remote Sensing Images https://github.com/yf19970118/OPLD-Pytorch
Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020) https://github.com/chaoqichen/HTCN
One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks https://github.com/kemaloksuz/LRP-Error
SWA Object Detection https://github.com/hyz-xmaster/swa_object_detection
Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection https://github.com/DeLightCMU/CASD
This is the implementation of YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design
https://github.com/nightsnack/YOLObile
Code for ACM MM 2020 paper "NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination"
https://github.com/TencentYoutuResearch/PedestrianDetection-NohNMS
Unofficial PyTorch implementation of the paper: "CenterNet3D: An Anchor free Object Detector for Autonomous Driving" https://github.com/maudzung/CenterNet3D-PyTorch
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing Images
https://github.com/ming71/CFC-Net
Code for Estimating and Evaluating Predictive Uncertainty In Deep 2D Object Detection. https://github.com/asharakeh/probdet
https://github.com/koyeongmin/PINet_new
https://github.com/AlbertoSabater/Robust-and-efficient-post-processing-for-video-object-detection
Review on Object Detection Metrics: 14 object detection metrics including COCO's and PASCAL's metrics. Supporting different bounding box formats.
https://github.com/rafaelpadilla/review_object_detection_metrics
Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021. https://github.com/PerdonLiu/CSE-Autoloss
https://github.com/ouyanghuiyu/thundernet_mmdetection
PyTorch code for ICLR 2021 paper Unbiased Teacher for Semi-Supervised Object Detection https://github.com/facebookresearch/unbiased-teacher
Unbiased Teacher for Semi-Supervised Object Detection https://arxiv.org/abs/2102.09480
https://github.com/shaoshengsong/quarkdet
https://github.com/xingyizhou/UniDet
代码：https://github.com/PeizeSun/SparseR-CNN 论文： https://arxiv.org/abs/2011.12450 [[attachment:Sparse R-CNN_ End-to-End Object Detection with Learnable Proposals]] 模型： https://pan.baidu.com/s/1jH4Xy3JzjHVWyzFsKt7aBw 9cmn 非anchor框和nms的目标检测技术，达到了比faster-rcnn更好的效果，速度也更快
知乎：https://zhuanlan.zhihu.com/p/336016003 代码：https://github.com/PeizeSun/OneNet 论文：https://arxiv.org/abs/2012.05780
code: https://github.com/CPFLAME/centerX/ 说明： https://zhuanlan.zhihu.com/p/323814368
yolov5rt - YOLOv5 Runtime Stack - Yet another yolov5, with its runtime stack for libtorch, onnx and specialized accelerators
yolo5实现 https://github.com/zhiqwang/yolov5-rt-stack
https://github.com/RangiLyu/nanodet
https://zhuanlan.zhihu.com/p/137768226
A Comparison of Deep Learning Object Detection Models for Satellite Imagery https://arxiv.org/abs/2009.04857
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection https://github.com/djiajunustc/Voxel-R-CNN
Localization Distillation for Object Detection https://github.com/HikariTJU/LD
TinyYOLOv2Barracuda：基于Unity Barracuda神经网络推理库的TinyYOLOv2目标检测库 https://github.com/keijiro/TinyYOLOv2Barracuda
Towards Open World Object Detection https://www.arxiv-vanity.com/papers/2103.02603 https://github.com/JosephKJ/OWOD
https://github.com/Guanghan/DANR
Deep Interactive Thin Object Selection https://github.com/liewjunhao/thin-object-selection
github.com/dddzg/up-detr
End-to-End Human Object Interaction Detection with HOI Transformer https://github.com/bbepoch/HoiTransformer
QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information https://github.com/hitachi-rd-cv/qpic
《Multiple Instance Active Learning for Object Detection》(CVPR 2021) https://github.com/yuantn/MIAL
patially Consistent Representation Learning https://www.arxiv-vanity.com/papers/2103.06122
icevision：端到端目标检测框架 github.com/airctic/icevision
'YOLOv5_NCNN - 🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。 github.com/cmdbug/YOLOv5_NCNN
LLA: Loss-aware Label Assignment for Dense Pedestrian Detection github.com/Megvii-BaseDetection/LLA
Gen-LaneNet: a generalized and scalable approach for 3D lane detection》(ECCV 2020) github.com/yuliangguo/Pytorch_Generalized_3D_Lane_Detection
《ReDet: A Rotation-equivariant Detector for Aerial Object Detection》(CVPR 2021) github.com/csuhan/ReDet
《Beta R-CNN: Looking into Pedestrian Detection from Another Perspective》(NeurIPS 2020) github.com/Guardian44x/Beta-R-CNN
《Wsod2: Learning bottom-up and top-down objectness distillation for weakly-supervised object detection》(ICCV 2019)
github.com/researchmm/WSOD2
《Anchor-Free Person Search》(CVPR 2021) github.com/daodaofr/AlignPS
github.com/ZJULearning/resa
《OTA: Optimal Transport Assignment for Object Detection》(CVPR 2021) github.com/Megvii-BaseDetection/OTA
github.com/rosinality/fcos-pytorch
USB: Universal-Scale Object Detection Benchmark github.com/shinya7y/UniverseNet
Efficient DETR: Improving End-to-End Object Detector with Dense Prior https://www.arxiv-vanity.com/papers/2104.01318
SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size github.com/google-research/si-score
Robust and Accurate Object Detection via Adversarial Learning github.com/google/automl/blob/master/efficientdet/Det-AdvProp.md
视觉小目标检测文献列表 github.com/ispc-lab/SmallObjectDetectionList
github.com/jkjung-avt/yolov4_crowdhuman
yolov5_prune - yolov5剪枝，支持v2,v3,v4版本的yolov5 github.com/ZJU-lishuang/yolov5_prune
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection github.com/ming71/DAL
Adaptive Class Suppression Loss for Long-Tail Object Detection (CVPR 2021) github.com/CASIA-IVA-Lab/ACSL
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding github.com/ashkamath/mdetr
PAFNet: An Efficient Anchor-Free Object Detector Guidance https://www.arxiv-vanity.com/papers/2104.13534/ https://github.com/PaddlePaddle/PaddleDetection
YOLTv4：更好、更快，改进的航空/卫星图像大规模目标检测 github.com/avanetten/yoltv4
lacmus：用神经网络在森林里搜索走失人员 github.com/lacmus-foundation/lacmus
《Concealed Object Detection》(2021) github.com/GewelsJI/SINet-V2
github.com/jwwangchn/AI-TOD
《Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection》(2020) github.com/ZiningWang/Inferring-Spatial-Uncertainty-in-Object-Detection
《PED: DETR for Crowd Pedestrian Detection》(2021) github.com/Hatmm/PED-DETR-for-Pedestrian-Detection
《Locate, Size and Count: Accurately Resolving People in Dense Crowds via Detection》(2020) github.com/stanfordmlgroup/blm
ee-fastapi: 基于Google Earth Engine的洪水检测系统 github.com/csaybar/ee-fastapi
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset github.com/AlirezaShamsoshoara/Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicle
DETReg: Unsupervised Pretraining with Region Priors for Object Detection https://www.arxiv-vanity.com/papers/2106.04550
《Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection》(CVPR 2021) github.com/tztztztztz/eqlv2
GAIA-det：目标检测迁移学习系统 github.com/GAIA-vision/GAIA-det
flexible-yolov5：更可读、使用更灵活的YOLOv5重构版】’flexible-yolov5 - More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet) and (cbam，dcn and so on), github.com/yl305237731/flexible-yolov5
Yolov5：YOLOV5的TensorFlow2高效实现 github.com/LongxingTan/Yolov5
Inverting and Understanding Object Detectors github.com/Caoang327/vis_det
detection_template - 一个目标检测的通用框架(不需要cuda编译)，支持Yolo全系列(v2~v5)、EfficientDet、RetinaNet、Cascade-RCNN等SOTA网络 github.com/misads/detection_template
YOLOX: Exceeding YOLO Series in 2021 github.com/Megvii-BaseDetection/YOLOX
github.com/Sharpiless/Yolov5-deepsort-inference
《CondLaneNet: a Top-to-down Lane Detection Framework Based on ConditionalConvolution》(2021) github.com/aliyun/conditional-lane-detection
github.com/FeiGeChuanShu/ncnn-android-yolox
YOLOv5 汉化版 github.com/wudashuo/yolov5
《CBNetV2: A Composite Backbone Network Architecture for Object Detection
github.com/VDIGPKU/CBNetV2
JDet：基于Jittor的目标检测框架 github.com/Jittor/JDet
github.com/jbwang1997/OBBDetection
Oriented R-CNN for Object Detection
https://arxiv.org/abs/2108.05699
TOOD: Task-aligned One-stage Object Detection
github.com/fcjian/TOOD
AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
github.com/zongdai/AutoShape
github.com/XinzeLee/RotateObjectDetection
Pix2seq: A Language Modeling Framework for Object Detection https://arxiv.org/abs/2109.10852
《Localizing Objects with Self-Supervised Transformers and no Labels》 github.com/valeoai/LOST
ViDT: An Efficient and Effective Fully Transformer-based Object Detector github.com/naver-ai/vidt
《Generalized Out-of-Distribution Detection: A Survey》 github.com/Jingkang50/OODSurvey
Sparse DETR: Efficient End-to-End Object Detection with Learnable Sparsity github.com/kakaobrain/sparse-detr
ONNX-ImageNet-1K-Object-Detector - Python scripts for performing object detection with the 1000 labels of the ImageNet dataset in ONNX. github.com/ibaiGorordo/ONNX-ImageNet-1K-Object-Detector
AdelaiDet：开源多实例级检测应用工具箱 github.com/aim-uofa/AdelaiDet
用商业卫星图像和深度学习探测海洋废弃物 github.com/NASA-IMPACT/marine_debris_ML
YOLOv5-Lite：方便部署的YOLOv5轻量高性能版 github.com/ppogg/YOLOv5-Lite
miemiedetection：基于YOLOX进行二次开发的PyTorch个人检测库，支持YOLOX、PPYOLO、PPYOLOv2等算法 github.com/miemie2013/miemiedetection
PyTorch 实现的YOLTv5卫星/航拍图像目标检测 github.com/avanetten/yoltv5
R-YOLOv4 - a PyTorch-based R-YOLOv4 implementation which combines YOLOv4 model and loss function from R3Det for arbitrary oriented object detection. github.com/kunnnnethan/R-YOLOv4
YOLOv7 - Framework Beyond Detection - YOLO with Transformers and Instance Segmentation, with TensorRT acceleration!
github.com/jinfagang/yolov7
yolox-opencv-dnn - 使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序 github.com/hpc203/yolox-opencv-dnn
github.com/open-mmlab/mmrotate
nnDetection：医学图像3D目标检测框架 github.com/MIC-DKFZ/nnDetection
Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection https://arxiv.org/abs/2202.06934
SAHI：面向大规模目标检测(特别是小目标)和实例分割的轻量视觉库 github.com/obss/sahi
NanoDet-Plus：超快轻量目标检测 github.com/RangiLyu/nanodet https://zhuanlan.zhihu.com/p/449912627
D²ETR: Decoder-Only DETR with Computationally Efficient Cross-Scale Attention https://arxiv.org/abs/2203.00860
yolox-opencv-dnn - 使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序 github.com/hpc203/yolox-opencv-dnn
Awesome-3D-Object-Detection：3D目标检测相关研究大列表 github.com/TianhaoFu/Awesome-3D-Object-Detection
Keras实例教程：视觉Transformer目标检测 https://keras.io/examples/vision/object_detection_using_vision_transformer/
YOLOX-OBB - YOLOX in DOTA with KLD loss. (Oriented Object Detection)（Rotated BBox）基于YOLOX的旋转目标检测 github.com/buzhidaoshenme/YOLOX-OBB
ONNX Object Localization Network：ONNX类不可知目标定位网络模型 github.com/ibaiGorordo/ONNX-Object-Localization-Network
Pix2Seq：一种新的目标检测语言接口 https://ai.googleblog.com/2022/04/pix2seq-new-language-interface-for.html
'YOLOv6: a single-stage object detection framework dedicated to industrial application.' by Meituan GitHub: github.com/meituan/YOLOv6
'ONNX YOLOv6 Object Detection - Python scripts performing object detection using the YOLOv6 model in ONNX.' by Ibai Gorordo GitHub: github.com/ibaiGorordo/ONNX-YOLOv6-Object-Detection
【FastestDet：轻量无锚目标检测框架，参数仅为250K，与最快速算法相比时间消耗减少30%】’FastestDet - A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 30% compared with yolo-fastest, and the post-processing is simpler' by xuehao.ma GitHub: github.com/dog-qiuqiu/FastestDet
【2022目标检测前沿】《Object Detection State of the Art 2022》by Pedro Azevedo medium.com/@pedroazevedo6/object-detection-state-of-the-art-2022-ad750e0f6003
[CV]《YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors》C Wang, A Bochkovskiy, H M Liao [Academia Sinica] (2022) https://arxiv.org/abs/2207.02696
'yolov7-pytorch - YOLOV7目标检测模型的PyTorch实现' by Bubbliiiing GitHub: github.com/bubbliiiing/yolov7-pytorch
【YOLO目标检测系统各种实现及应用项目大列表】’Awesome-YOLO-Object-Detection - A collection of some awesome YOLO object detection series projects.' by dotnet-rs-py GitHub: github.com/dotnet-rs-py/awesome-yolo-object-detection
'ONNX YOLOv7 Object Detection - Python scripts performing object detection using the YOLOv7 model in ONNX.' by Ibai Gorordo GitHub: github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection
'yolov7-opencv-onnxrun-cpp-py - 分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测，一共包含14个onnx模型，包含C++和Python两个版本的程序' by hpc203 GitHub: github.com/hpc203/yolov7-opencv-onnxrun-cpp-py
【YOLOv5-Lite：方便部署的YOLOv5轻量高性能版】’YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~' by ppogg GitHub: https:// github.com/ppogg/YOLOv5-Lite
[CV]《Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild》X Du, X Wang, G Gozum, Y Li [University of Wisconsin-Madison & Microsoft Research] (2022) https://arxiv.org/abs/2203.03800
【YOLOAir：基于PyTorch的一系列YOLO检测算法组合工具箱。用来组合不同模块构建不同网络】'YOLOAir：Including YOLOv5, YOLOv7, Transformer, YOLOX, YOLOR and other networks... Support to improve backbone, head, loss, IoU, NMS...The original version was created based on YOLOv5' by iscyy GitHub: github.com/iscyy/yoloair
'YOLOSeries：基于PaddleDetection的YOLO系列模型库，支持PP-YOLOE,YOLOv3,YOLOX,YOLOv5,MT-YOLOv6,YOLOv7等模型' by Feng Ni GitHub: github.com/nemonameless/PaddleDetection_YOLOSeries
【YOLOv7目标自动模糊】’YOLOv7 Object Blurring Using PyTorch and OpenCV' by Muhammad Rizwan Munawar GitHub: github.com/RizwanMunawar/yolov7-object-blurring
[CV]《Detecting the unknown in Object Detection》D Fontanel, M Tarantino, F Cermelli, B Caputo [Politecnico di Torino] (2022) https://arxiv.org/abs/2208.11641
[CV]《A Survey of Deep Learning for Low-Shot Object Detection》Q Huang, H Zhang, M Xue, J Song, M Song [Zhejiang University] (2021) https://arxiv.org/abs/2112.02814
【Change Detection Laboratory：用 PyTorch 开发的基于深度学习遥感影像变化检测项目，可作为算法开发、训练框架，也可作为基线测试平台】'Change Detection Laboratory - Yet another repository for developing and benchmarking deep learning-based change detection methods.' by Lin Manhui GitHub: github.com/Bobholamovic/CDLab
【detrex：基于Transformer的检测算法工具包】’detrex - IDEA Open Source Toolbox for Transformer Based Object Detection Algorithms' by IDEA-Research GitHub: github.com/IDEA-Research/detrex
'mmyolo - OpenMMLab YOLO series toolbox and benchmark' by OpenMMLab GitHub: github.com/open-mmlab/mmyolo
[CV]《SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery》J Zhang, J Lei, W Xie, Z Fang, Y Li, Q Du [Xidian University & Simon Fraser University & Mississippi State University] (2022) https://arxiv.org/abs/2209.13351
【PyTorch Out-of-Distribution Detection：PyTorch分布外检测(OOD)研究库】’PyTorch Out-of-Distribution Detection - PyTorch-based library to accelerate research in Out-of-Distribution (OOD) Detection’ by kkirchheim GitHub: github.com/kkirchheim/pytorch-ood
'Easy Object Detection with Transformers: Simple Implementation of Pix2Seq model in PyTorch' by Moein Shariatnia GitHub: github.com/moein-shariatnia/Pix2Seq
[CV]《DiffusionDet: Diffusion Model for Object Detection》S Chen, P Sun, Y Song, P Luo [The University of Hong Kong & Tencent AI Lab] (2022) https://arxiv.org/abs/2211.09788
【Roboflow 100: 富多域目标检测基准】'Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark ' by Roboflow GitHub: github.com/roboflow-ai/roboflow-100-benchmark
【开集目标检测相关文献资源列表】’Awesome-Open-Vocabulary-Object-Detection' by YimingCui GitHub: github.com/YimingCuiCuiCui/awesome-open-vocabulary-object-detection
'Yolov8_Efficient - Simple and efficient use for Ultralytics yolov8' Xu Lin GitHub: github.com/isLinXu/YOLOv8_Efficient
【Ultralytics YOLOv8 ：在以前 YOLO 版本的成功基础上，引入了新的功能和改进，进一步提升了性能和灵活性】'Ultralytics YOLOv8 - a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility' Ultralytics GitHub: github.com/ultralytics/ultralytics
【AdelaiDet：面向多实例级检测和识别任务的开源工具箱】'AdelaiDet - an open source toolbox for multiple instance-level detection and recognition tasks.' Advanced Intelligent Machines (AIM) GitHub: github.com/aim-uofa/AdelaiDet
【深度学习CV领域模型加速部署案例，仓库实现的cuda c支持多batch图像预处理、推理、decode、NMS】’TensorRT-Alpha - supports YOLOv8, YOLOv7, YOLOv6, YOLOv5, YOLOv4, YOLOv3, YOLOX, YOLOR and so on. It implements CUDA C++ accelerated deployment models. CUDA IS ALL YOU NEED. Best Wish!' FeiYull GitHub: github.com/FeiYull/tensorrt-alpha
【Globox：目标检测工具箱】’Globox — Object Detection Toolbox - A package to read and convert object detection databases (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.' Louis Lac GitHub: github.com/laclouis5/globox
'awesome-yolov8-models - Easy-to-use finetuned YOLOv8 models.' ABYZOU GitHub: github.com/keremberke/awesome-yolov8-models
https://arxiv.org/abs/2304.08069 [CV]《DETRs Beat YOLOs on Real-time Object Detection》W Lv, S Xu, Y Zhao, G Wang, J Wei, C Cui, Y Du, Q Dang, Y Liu [Baidu Inc] (2023)
【YOLO-NAS：Deci发布的一款新的目标检测模型，采用了其专有的神经架构搜索技术AutoNAC™生成。该模型在准确性和速度性能方面都表现优异，超越了其他模型，如YOLOv5、YOLOv6、YOLOv7和YOLOv8等。YOLO-NAS具有更快的实时目标检测能力，性能更具生产力。除了具有数据和硬件感知能力，AutoNAC™引擎还考虑了推理栈中的其他组件，包括编译器和量化。YOLO-NAS的架构采用量化感知块和选择性量化，可获得优化性能。该模型可在SuperGradients上进行训练和微调，并提供了预训练权重】'YOLO-NAS - A Next-Generation, Object Detection Foundational Model generated by Deci’s Neural Architecture Search Technology' by deci.ai GitHub: github.com/Deci-AI/super-gradients/blob/master/YOLONAS.md
很漂亮的YOLOv8结构图 src: github.com/open-mmlab/mmyolo/blob/main/docs/en/recommended_topics/algorithm_descriptions/yolov8_description.md
【开放词表目标检测相关论文、数据集和资源列表】’Awesome-Open-Vocabulary-Object-Detection - A curated list of papers, datasets and resources pertaining to open vocabulary object detection.' kario GitHub: github.com/witnessai/Awesome-Open-Vocabulary-Object-Detection
【RT-DETR：实时端到端目标检测器】'RT-DETR - official rtdetr, official rt-detr, rtdetr, rt-detr, Real-Time DEtection TRansformer, DETRs Beat YOLOs on Real-time Object Detection' Wenyu GitHub: github.com/lyuwenyu/RT-DETR