Awesome Object Detection Repositories

Introduction

github: youngxiao.github.io
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)

Papers & Repositories

CenterNet

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

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

CornerNet

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

RefineDet

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

YOLOv3: An Incremental Improvement

intro: arXiv 2018, YOLOv3 is extremely fast and accurate.

• arxiv: https://arxiv.org/abs/1804.02767

• author: Joseph Redmon et al.

• web: https://pjreddie.com/darknet/yolo/

• github(official): https://github.com/pjreddie/darknet

• github(keras): https://github.com/qqwweee/keras-yolo3

• github(pytorch): https://github.com/ayooshkathuria/pytorch-yolo-v3

• github(pytorch): https://github.com/eriklindernoren/PyTorch-YOLOv3

• github(tensorflow): https://github.com/YunYang1994/tensorflow-yolov3

Mask R-CNN

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.

• arxiv: http://arxiv.org/abs/1703.06870

• author: Kaiming He, Ross Girshick et al.

• github(caffe2): https://github.com/facebookresearch/Detectron

• github(keras): https://github.com/matterport/Mask_RCNN

• github(pytorch): https://github.com/wannabeOG/Mask-RCNN

RetinaNet

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

FPN

Feature Pyramid Networks for Object Detection

intro: Facebook AI Research

• arxiv: https://arxiv.org/abs/1612.03144

• author: Tsung-Yi Lin, Ross Girshick, Kaiming He, et al.

• github(move to): https://github.com/facebookresearch/Detectron

R-FCN

R-FCN: Object Detection via Region-based Fully Convolutional Networks

- arxiv:

SSD

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

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

intro: NIPS 2015

• arxiv: http://arxiv.org/abs/1506.01497

• author: Shaoqing Ren, Kaiming He, Ross Girshick et al.

• github(move to): https://github.com/facebookresearch/Detectron

• github(pytorch): https://github.com/jwyang/faster-rcnn.pytorch

• github(caffe): https://github.com/rbgirshick/py-faster-rcnn

• github(tensorflow): https://github.com/smallcorgi/Faster-RCNN_TF