Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
| Date | Stars |
|---|---|
| 2026-07-24 | 7499 |
| 2026-07-25 | 7500 |
| 2026-07-28 | 7499 |
| 2026-07-30 | 7499 |
| 2026-07-31 | 7498 |
| 2026-08-06 | 7499 |
Today
+1 stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# object-detection
[TOC]
This is a list of awesome articles about object detection. If you want to read the paper according to time, you can refer to [Date](Date.md).
- R-CNN
- Fast R-CNN
- Faster R-CNN
- Mask R-CNN
- Light-Head R-CNN
- Cascade R-CNN
- SPP-Net
- YOLO
- YOLOv2
- YOLOv3
- YOLT
- SSD
- DSSD
- FSSD
- ESSD
- MDSSD
- Pelee
- Fire SSD
- R-FCN
- FPN
- DSOD
- RetinaNet
- MegDet
- RefineNet
- DetNet
- SSOD
- CornerNet
- M2Det
- 3D Object Detection
- ZSD（Zero-Shot Object Detection）
- OSD（One-Shot object Detection）
- Weakly Supervised Object Detection
- Softer-NMS
- 2018
- 2019
- Other
Based on handong1587's github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
# Survey
**Imbalance Problems in Object Detection: A Review**
- intro: under review at TPAMI
- arXiv: <https://arxiv.org/abs/1909.00169>
**Recent Advances in Deep Learning for Object Detection**
- intro: From 2013 (OverFeat) to 2019 (DetNAS)
- arXiv: <https://arxiv.org/abs/1908.03673>
**A Survey of Deep Learning-based Object Detection**
- intro：From Fast R-CNN to NAS-FPN
- arXiv：<https://arxiv.org/abs/1907.09408>
**Object Detection in 20 Years: A Survey**
- intro：This work has been submitted to the IEEE TPAMI for possible publication
- arXiv：<https://arxiv.org/abs/1905.05055>
**《Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks》**
- intro: awesome
- arXiv: https://arxiv.org/abs/1809.03193
**《Deep Learning for Generic Object Detection: A Survey》**
- intro: Submitted to IJCV 2018
- arXiv: https://arxiv.org/abs/1809.02165
# Papers&Codes
## R-CNN
**Rich feature hierarchies for accurate object detection and semantic segmentation**
- intro: R-CNN
- arxiv: <http://arxiv.org/abs/1311.2524>
- supp: <http://people.eecs.berkeley.edu/~rbg/papers/r-cnn-cvpr-supp.pdf>
- slides: <http://www.image-net.org/challenges/LSVRC/2013/slides/r-cnn-ilsvrc2013-workshop.pdf>
- slides: <http://www.cs.berkeley.edu/~rbg/slides/rcnn-cvpr14-slides.pdf>
- github: <https://github.com/rbgirshick/rcnn>
- notes: <http://zhangliliang.com/2014/07/23/paper-note-rcnn/>
- caffe-pr("Make R-CNN the Caffe detection example"): <https://github.com/BVLC/caffe/pull/482>
## Fast R-CNN
**Fast R-CNN**
- arxiv: <http://arxiv.org/abs/1504.08083>
- slides: <http://tutorial.caffe.berkeleyvision.org/caffe-cvpr15-detection.pdf>
- github: <https://github.com/rbgirshick/fast-rcnn>
- github(COCO-branch): <https://github.com/rbgirshick/fast-rcnn/tree/coco>
- webcam demo: <https://github.com/rbgirshick/fast-rcnn/pull/29>
- notes: <http://zhangliliang.com/2015/05/17/paper-note-fast-rcnn/>
- notes: <http://blog.csdn.net/linj_m/article/details/48930179>
- github("Fast R-CNN in MXNet"): <https://github.com/precedenceguo/mx-rcnn>
- github: <https://github.com/mahyarnajibi/fast-rcnn-torch>
- github: <https://github.com/apple2373/chainer-simple-fast-rnn>
- github: <https://github.com/zplizzi/tensorflow-fast-rcnn>
**A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection**
- intro: CVPR 2017
- arxiv: <https://arxiv.org/abs/1704.03414>
- paper: <http://abhinavsh.info/papers/pdfs/adversarial_object_detection.pdf>
- github(Caffe): <https://github.com/xiaolonw/adversarial-frcnn>
## Faster R-CNN
**Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks**
- intro: NIPS 2015
- arxiv: <http://arxiv.org/abs/1506.01497>
- gitxiv: <http://www.gitxiv.com/posts/8pfpcvefDYn2gSgXk/faster-r-cnn-towards-real-time-object-detection-with-region>
- slides: <http://web.cs.hacettepe.edu.tr/~aykut/classes/spring2016/bil722/slides/w05-FasterR-CNN.pdf>
- github(official, Matlab): <https://github.com/ShaoqingRen/faster_rcnn>
- github(Caffe): <https://github.com/rbgirshick/py-faster-rcnn>
- github(MXNet): <https://github.com/msracver/Deformable-ConvNets/tree/master/faster_rcnn>
- github(PyTorch--recoExcerpt of 38,903 characters
Read on GitHub
Amusi · CVer · China
76
3
Haroldo de Oliveira Pinheiro
2
Sri Krishna · India
1
Xin Zhang · University of Waikato · New Zealand
1
1
Ethan He · @xai-org · United States
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1c0d75f4dccd2a48, topic:computer-vision, topic:object-detection, name:object detection