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https://github.com/codingonion/awesome-anchor-free-object-detection

A collection of some awesome public Anchor-Free object detection series projects.
https://github.com/codingonion/awesome-anchor-free-object-detection

List: awesome-anchor-free-object-detection

anchor-free attention centernet cornernet detr fcos nanodet object-detection transformer yolo yolov5 yolov7 yolox

Last synced: 11 days ago
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A collection of some awesome public Anchor-Free object detection series projects.

Host: GitHub
URL: https://github.com/codingonion/awesome-anchor-free-object-detection
Owner: codingonion
Created: 2022-04-04T03:27:41.000Z (over 2 years ago)
Default Branch: main
Last Pushed: 2024-02-22T12:20:19.000Z (5 months ago)
Last Synced: 2024-03-07T05:00:50.789Z (4 months ago)
Topics: anchor-free, attention, centernet, cornernet, detr, fcos, nanodet, object-detection, transformer, yolo, yolov5, yolov7, yolox
Homepage:
Size: 8.79 KB
Stars: 20
Watchers: 2
Forks: 3
Open Issues: 0
Metadata Files:
- Readme: README.md

Lists

ultimate-awesome - awesome-anchor-free-object-detection - A collection of some awesome public Anchor-Free object detection series projects. (Programming Language Lists / Python Lists)

README

        # Awesome-Anchor-Free-Object-Detection

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

🔥🔥🔥 This repository lists some awesome Anchor-Free object detection series projects.

## Contents

- [Awesome-Anchor-Free-Object-Detection](#awesome-anchor-free-object-detection)

    - [Frameworks](#frameworks)

    - [Applications](#applications)

    - [Others](#others)

## Frameworks

  - [YOLO](https://pjreddie.com/darknet/yolov1) ([Darknet](https://github.com/pjreddie/darknet) ) : "You Only Look Once: Unified, Real-Time Object Detection". (**[CVPR 2016](https://www.cv-foundation.org/openaccess/content_cvpr_2016/html/Redmon_You_Only_Look_CVPR_2016_paper.html)**)

  - [CornerNet](https://github.com/princeton-vl/CornerNet)  : "CornerNet: Detecting Objects as Paired Keypoints". (**[ECCV 2018](https://openaccess.thecvf.com/content_ECCV_2018/html/Hei_Law_CornerNet_Detecting_Objects_ECCV_2018_paper.html)**)

  - [xingyizhou/CenterNet](https://github.com/xingyizhou/CenterNet)  : "Objects as Points". (**[arXiv 2019](https://arxiv.org/abs/1904.07850)**)

  - [Duankaiwen/CenterNet](https://github.com/Duankaiwen/CenterNet)  : "CenterNet: Keypoint Triplets for Object Detection". (**[ICCV 2019](https://openaccess.thecvf.com/content_ICCV_2019/html/Duan_CenterNet_Keypoint_Triplets_for_Object_Detection_ICCV_2019_paper.html)**)

  - [FreeAnchor](https://github.com/zhangxiaosong18/FreeAnchor)  : "FreeAnchor: Learning to Match Anchors for Visual Object Detection". (**[NeurIPS 2019](https://proceedings.neurips.cc/paper/2019/hash/43ec517d68b6edd3015b3edc9a11367b-Abstract.html)**)

  - [FCOS](https://github.com/tianzhi0549/FCOS)  : "FCOS: Fully Convolutional One-Stage Object Detection". (**[ICCV 2019](https://openaccess.thecvf.com/content_ICCV_2019/html/Tian_FCOS_Fully_Convolutional_One-Stage_Object_Detection_ICCV_2019_paper.html), [IEEE TPAMI 2021](https://ieeexplore.ieee.org/document/9229517)**)

  - [ExtremeNet](https://github.com/xingyizhou/ExtremeNet)  : "Bottom-up Object Detection by Grouping Extreme and Center Points". (**[CVPR 2019](https://openaccess.thecvf.com/content_CVPR_2019/html/Zhou_Bottom-Up_Object_Detection_by_Grouping_Extreme_and_Center_Points_CVPR_2019_paper.html)**)

  - [RepPoints](https://github.com/microsoft/RepPoints)  : "Bottom-up Object Detection by Grouping Extreme and Center Points". (**[ICCV 2019](https://openaccess.thecvf.com/content_ICCV_2019/html/Yang_RepPoints_Point_Set_Representation_for_Object_Detection_ICCV_2019_paper.html)**)

  - [CenterNet3d](https://github.com/wangguojun2018/CenterNet3d)  : "CenterNet3D: An Anchor free Object Detector for Autonomous Driving". (**[arXiv 2020](https://arxiv.org/abs/2007.07214)**)

  - [CenterMask](https://github.com/youngwanLEE/centermask2)  : "CenterMask: Real-Time Anchor-Free Instance Segmentation". (**[CVPR 2020](https://openaccess.thecvf.com/content_CVPR_2020/html/Lee_CenterMask_Real-Time_Anchor-Free_Instance_Segmentation_CVPR_2020_paper.html)**)

  - [AutoAssign](https://github.com/Megvii-BaseDetection/AutoAssign)  : "AutoAssign: Differentiable Label Assignment for Dense Object Detection". (**[arXiv 2020](https://arxiv.org/abs/2007.03496)**)

  - [BorderDet](https://github.com/Megvii-BaseDetection/BorderDet)  : "BorderDet: Border Feature for Dense Object Detection". (**[ECCV 2020](https://arxiv.org/abs/2007.11056)**)

  - [Dense-RepPoints](https://github.com/justimyhxu/Dense-RepPoints)  : "Dense Reppoints: Representing Visual Objects with Dense Point Sets". (**[ECCV 2020](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123660222.pdf)**)

  - [sfzhang15/ATSS](https://github.com/sfzhang15/ATSS)  : "Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection". (**[CVPR 2020](https://openaccess.thecvf.com/content_CVPR_2020/html/Zhang_Bridging_the_Gap_Between_Anchor-Based_and_Anchor-Free_Detection_via_Adaptive_CVPR_2020_paper.html)**)

  - [RepPointsV2](https://github.com/Scalsol/RepPointsV2)  : "RepPoints V2: Verification Meets Regression for Object Detection". (**[NeurIPS 2020](https://proceedings.neurips.cc/paper/2020/hash/3ce3bd7d63a2c9c81983cc8e9bd02ae5-Abstract.html)**)

  - [GFocal](https://github.com/implus/GFocal)  : "Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection". (**[NeurIPS 2020](https://proceedings.neurips.cc/paper/2020/hash/f0bda020d2470f2e74990a07a607ebd9-Abstract.html)**)

  - [DETR](https://github.com/facebookresearch/detr)  : "End-to-end object detection with transformers". (**[ECCV 2020](https://link.springer.com/chapter/10.1007/978-3-030-58452-8_13)**)

  - [CenterNet2](https://github.com/xingyizhou/CenterNet2)  : "Probabilistic two-stage detection". (**[arXiv 2021](https://arxiv.org/abs/2103.07461)**)

  - [OneNet](https://github.com/PeizeSun/OneNet)  : "What Makes for End-to-End Object Detection?". (**[ICML 2021](https://proceedings.mlr.press/v139/sun21b.html)**)

  - [Sparse R-CNN](https://github.com/PeizeSun/SparseR-CNN)  : "Sparse R-CNN: End-to-End Object Detection with Learnable Proposals". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Sun_Sparse_R-CNN_End-to-End_Object_Detection_With_Learnable_Proposals_CVPR_2021_paper.html)**)

  - [DeFCN](https://github.com/Megvii-BaseDetection/DeFCN)  : "End-to-End Object Detection with Fully Convolutional Network". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Wang_End-to-End_Object_Detection_With_Fully_Convolutional_Network_CVPR_2021_paper.html)**)

  - [YOLOX](https://github.com/Megvii-BaseDetection/YOLOX)  : "YOLOX: Exceeding YOLO Series in 2021". (**[arXiv 2021](https://arxiv.org/abs/2107.08430)**)

  - [YOLOR](https://github.com/WongKinYiu/yolor)  : "You Only Learn One Representation: Unified Network for Multiple Tasks". (**[arXiv 2021](https://arxiv.org/abs/2105.04206)**)

  

  - [DAFNe](https://github.com/steven-lang/DAFNe)  : "DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection". (**[arXiv 2021](https://arxiv.org/abs/2109.06148)**)

  - [FCAF3D](https://github.com/SamsungLabs/fcaf3d)  : "FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection". (**[arXiv 2021](https://arxiv.org/abs/2112.00322)**)

  - [NanoDet-Plus](https://github.com/RangiLyu/nanodet)  : NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥.

  - [AlignPS](https://github.com/daodaofr/AlignPS)  : "Anchor-Free Person Search". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Yan_Anchor-Free_Person_Search_CVPR_2021_paper.html)**)

  - [ByteTrack](https://github.com/ifzhang/ByteTrack)  : "ByteTrack: Multi-Object Tracking by Associating Every Detection Box". (**[arXiv 2021](https://arxiv.org/abs/2110.06864)**)

  - [FII-CenterNet](https://github.com/leofansq/FII-CenterNet)  : "FII-CenterNet: An Anchor-Free Detector With Foreground Attention for Traffic Object Detection". (**[IEEE TVT 2021](https://ieeexplore.ieee.org/abstract/document/9316984)**)

  - [CenterNet++](https://github.com/Duankaiwen/PyCenterNet)  : "CenterNet++ for Object Detection". (**[arXiv 2022](https://arxiv.org/abs/2204.08394)**)

  - [dog-qiuqiu/FastestDet](https://github.com/dog-qiuqiu/FastestDet)  : ⚡ A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler. (**[知乎 2022](https://zhuanlan.zhihu.com/p/536500269)**)   

  - [AIRDet](https://github.com/tinyvision/AIRDet)  : Welcome to AIRDet! AIRDet is an efficiency-oriented anchor-free object detector, aims to enable robust object detection in various industry scene.

  - [YOLOv6](https://github.com/meituan/YOLOv6)  : "YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications". (**[arXiv 2022](https://arxiv.org/abs/2209.02976)**).  "微信公众号「美团技术团队」《[YOLOv6：又快又准的目标检测框架开源啦](https://mp.weixin.qq.com/s/RrQCP4pTSwpTmSgvly9evg)》"。 "微信公众号「美团技术团队」《[目标检测开源框架YOLOv6全面升级，更快更准的2.0版本来啦 ](https://mp.weixin.qq.com/s/9FyvWrHErfgJrVXIC_PKqg)》"。 "微信公众号「集智书童」《[超越YOLOv7 | YOLOv6论文放出，重参+自蒸馏+感知量化+...各种Tricks大放异彩](https://mp.weixin.qq.com/s/DPHC7bO1Q-IKDUqPU7DSJA)》"

  - [YOLOX-PAI](https://github.com/alibaba/EasyCV)  : "YOLOX-PAI: An Improved YOLOX, Stronger and Faster than YOLOv6". (**[arXiv 2022](https://arxiv.org/abs/2208.13040)**). "微信公众号「集智书童」《[YOLOX升级 | 阿里巴巴提出YOLOX-PAI，1ms内精度无敌，超越YOLOv6、PP-YOLOE](https://mp.weixin.qq.com/s/bIu3cYyZ-fVb5iB0bTfyug)》"

## Applications

  - [TracKit](https://github.com/researchmm/TracKit)  : "Ocean: Object-aware Anchor-free Tracking". (**[ECCV 2020](https://arxiv.org/abs/2006.10721)**)

  - [CenterTrack](https://github.com/xingyizhou/CenterTrack)  : "Tracking Objects as Points". (**[ECCV 2020](https://arxiv.org/abs/2004.01177)**)

  - [FairMOT](https://github.com/ifzhang/FairMOT)  : "FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking". (**[IJCV 2021](https://arxiv.org/abs/2004.01888)**)

  - [TraDeS](https://github.com/JialianW/TraDeS)  : "Track to Detect and Segment: An Online Multi-Object Tracker". (**[CVPR 2021](https://openaccess.thecvf.com/content/CVPR2021/html/Wu_Track_To_Detect_and_Segment_An_Online_Multi-Object_Tracker_CVPR_2021_paper.html)**)

  - [DSFNet](https://github.com/ChaoXiao12/Moving-object-detection-DSFNet)  : "DSFNet: Dynamic and Static Fusion Network for Moving Object Detection in Satellite Videos". (**[IEEE Geoscience and Remote Sensing Letters 2021](https://ieeexplore.ieee.org/abstract/document/9594855)**)

  - [CaptainEven/MCMOT](https://github.com/CaptainEven/MCMOT)  : Real time one-stage multi-class & multi-object tracking based on anchor-free detection and ReID.

  - [DataXujing/CornerNet-Lite-Pytorch](https://github.com/DataXujing/CornerNet-Lite-Pytorch)  : 🚨🚨🚨 CornerNet:基于虚拟仿真环境下的自动驾驶交通标志识别。

  - [HaiNguyen2903/CenterFace](https://github.com/HaiNguyen2903/CenterFace)  : Using free anchor method to solve Object Detection problem.

  - [Bigtuo/YOLOX-Lite](https://github.com/Bigtuo/YOLOX-Lite)  : 将YOLOv5-Lite代码中的head更换为YOLOX head。

  - [DSFNet](https://github.com/ChaoXiao12/Moving-object-detection-DSFNet)  : "DSFNet: Dynamic and Static Fusion Network for Moving Object Detection in Satellite Videos". (**[IEEE Geoscience and Remote Sensing Letters 2021](https://ieeexplore.ieee.org/abstract/document/9594855)**)

## Others

  - [XinZhangNLPR/awesome-anchor-free-object-detection](https://github.com/XinZhangNLPR/awesome-anchor-free-object-detection)  : In this project, we focus on collection the anchor free object detection paper or code. 

  - [VCBE123/AnchorFreeDetection](https://github.com/VCBE123/AnchorFreeDetection)  : list the paper for recently anchor free detector.