Based on amusi's repositories: https://github.com/amusi/awesome-object-detection
From 2015 to May, 2019. Some awesome papers and repositories.
Sorted from recent to earlier:
- CenterNet (2019)
- M2Det (2019)
- CornerNet (2018)
- RefineDet (2018)
- YOLOv3 (2018)
- Mask R-CNN (2017)
- RetinaNet (2017)
- FPN (2017)
- R-FCN (2016)
- SSD (2016)
- Faster R-CNN (2015)
Two approaches are named CenterNet. The same name but different methods.
1. Objects as Points
intro: arXiv 2019, Object detection, 3D detection, and pose estimation using center point detection
- arxiv: https://arxiv.org/abs/1904.07850
- author: Xingyi Zhou et al.
- github(official): https://github.com/xingyizhou/CenterNet
2. CenterNet: Keypoint Triplets for Object Detection
intro: CVPR 2019, KeyPoint-based 2D object detection.
- arxiv: https://arxiv.org/abs/1904.08189
- author: Kaiwen Duan et al.
- github(official): https://github.com/Duankaiwen/CenterNet
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
intro: AAAI 2019
- arXiv: https://arxiv.org/abs/1811.04533
- author: Qijie Zhao et al.
- github: https://github.com/qijiezhao/M2Det
1. CornerNet-Lite: Efficient Keypoint Based Object Detection intro: arXiv 2019, more efficient variants of CornerNet
- arXiv: https://arxiv.org/abs/1904.08900
- author: Hei Law et al.
- github(official): https://github.com/princeton-vl/CornerNet-Lite
2. CornerNet: Detecting Objects as Paired Keypoints
intro: ECCV 2018
- arXiv: https://arxiv.org/abs/1808.01244
- author: Hei Law et al.
- github(offical): https://github.com/princeton-vl/CornerNet
Single-Shot Refinement Neural Network for Object Detection
intro: CVPR 2018
- arxiv: https://arxiv.org/abs/1711.06897
- author: Shifeng Zhang et al.
- github(offical): https://github.com/sfzhang15/RefineDet
YOLOv3: An Incremental Improvement
intro: arXiv 2018, YOLOv3 is extremely fast and accurate.
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author: Joseph Redmon et al.
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github(official): https://github.com/pjreddie/darknet
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github(keras): https://github.com/qqwweee/keras-yolo3
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github(pytorch): https://github.com/ayooshkathuria/pytorch-yolo-v3
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github(pytorch): https://github.com/eriklindernoren/PyTorch-YOLOv3
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github(tensorflow): https://github.com/YunYang1994/tensorflow-yolov3
intro: Facebook AI Research, ICCV2017, The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101 backbone.
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author: Kaiming He, Ross Girshick et al.
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github(caffe2): https://github.com/facebookresearch/Detectron
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github(keras): https://github.com/matterport/Mask_RCNN
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github(pytorch): https://github.com/wannabeOG/Mask-RCNN
Focal Loss for Dense Object Detection
intro: ICCV 2017 Best student paper award. Facebook AI Researc
- arxiv: https://arxiv.org/abs/1708.02002
- author: Tsung-Yi Lin, Ross Girshick, Kaiming He, et al.
- github(caffe2): https://github.com/facebookresearch/Detectron
- github(kares): https://github.com/fizyr/keras-retinanet
Feature Pyramid Networks for Object Detection
intro: Facebook AI Research
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author: Tsung-Yi Lin, Ross Girshick, Kaiming He, et al.
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github(move to): https://github.com/facebookresearch/Detectron
R-FCN: Object Detection via Region-based Fully Convolutional Networks
- arxiv: - author: [Jifeng Dai](https://jifengdai.org/), [Kaiming He](https://research.fb.com/people/he-kaiming/) et al. - github(official, Matlab): - github(MXNet):SSD: Single Shot MultiBox Detector
intro: ECCV 2016 Oral
- arxiv: http://arxiv.org/abs/1512.02325
- author: Wei Liu et al.
- github(official): https://github.com/weiliu89/caffe/tree/ssd
- github(tensorflow): https://github.com/balancap/SSD-Tensorflow
- github(pytorch): https://github.com/amdegroot/ssd.pytorch
- github(MobileNet-SSD): https://github.com/chuanqi305/MobileNet-SSD
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
intro: NIPS 2015
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author: Shaoqing Ren, Kaiming He, Ross Girshick et al.
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github(move to): https://github.com/facebookresearch/Detectron
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github(pytorch): https://github.com/jwyang/faster-rcnn.pytorch
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github(caffe): https://github.com/rbgirshick/py-faster-rcnn
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github(tensorflow): https://github.com/smallcorgi/Faster-RCNN_TF