GitHub：Anchor-free目标检测最全资料集锦

作者：Amusi
Date：2020-09-05
来源：CVer微信公众号
原文：GitHub：Anchor-free目标检测最全资料集锦

前言

Anchor-free 目标检测 无疑是近一两年内目标检测非常重要的研究方向之一，Amusi 觉得特别是得益于DenseBox、CornerNet、FCOS和CenterNet等网络的创新性提出。

近两年里，CVPR 2019、ICCV 2019、CVPR 2020和ECCV 2020上出现了不少anchor-free目标检测的优质工作。“先富带后富”，近来也有若干anchor-free目标跟踪网络的提出。

Amusi 在本文要分享的是目前最全，最新的anchor-free目标检测论文合集。

Anchor-free目标检测

项目作者：Xin Zhang, Xuesong Wang, nuo xu

https://github.com/XinZhangNLPR/awesome-anchor-free-object-detection
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本项目共计涵盖 24篇anchor-free目标检测论文，其中论文大多为顶会且已开源！

• 论文以年份进行归类划分（从2015到2020）
• 每篇论文给出了是否收录的状态（如arXiv，CVPR）
• 已开源的论文给出了相应实现的框架名称（如PyTorch）
• 已开源的论文star数量>100，则带有 标识

2020

• [arXiv] AutoAssign: Differentiable Label Assignment for Dense Object Detection.

• [arXiv] RepPoints V2: Verification Meets Regression for Object Detection. [pytorch]

• [ECCV] Corner Proposal Network for Anchor-free, Two-stage Object Detection. [Available soon]

• [ECCV] HoughNet: Integrating near and long-range evidence for bottom-up object detection. [pytorch]

• [CVPR] Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection. [pytorch]

• [CVPR] Soft Anchor-Point Object Detection. [Keras]

• [CVPR] CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection. [pytorch]

• [arXiv] SaccadeNet: A Fast and Accurate Object Detector. [pytorch]

• [arXiv] Localization Uncertainty Estimation for Anchor-Free Object Detection.

• [ECCV] Dense RepPoints: Representing Visual Objects with Dense Point Sets. [pytorch]

• [ECCV] BorderDet: Border Feature for Dense Object Detection. [pytorch]

• [arXiv] Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. [pytorch]

2019

• [ICCV] RepPoints: Point Set Representation for Object Detection. [pytorch]

• [arXiv] Segmentation is All You Need.

• [arXiv] FCOS: Fully Convolutional One-Stage Object Detection. [pytorch]

• [arXiv] CenterNet: Keypoint Triplets for Object Detection. [pytorch]

• [arXiv] Objects as Points. [pytorch]

• [arXiv] FoveaBox: Beyond Anchor-based Object Detector. [pytorch]

• [CVPR] Feature Selective Anchor-Free Module for Single-Shot Object Detection. [pytorch]

• [arXiv] ExtremeNet: Bottom-up Object Detection by Grouping Extreme and Center Points. [pytorch]

2018

• [ECCV] CornerNet: Detecting Objects as Paired Keypoints. [pytorch]

• [arXiv] An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches.

2016

• [CVPR] You Only Look Once: Unified, Real-Time Object Detection. [tensorflow] [darknet]

• [acm multimedia] UnitBox: An Advanced Object Detection Network. [tensorflow]

2015

• [arXiv] DenseBox: Unifying Landmark Localization with End to End Object Detection. [caffe]
  一份超级棒的Anchor-free 目标检测学习资料，强烈推荐大家学习！

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

另外强烈推荐阅读，Amusi 整理过的最全资料系列如下：

• GitHub：深度学习最全资料集锦
• GitHub：图像分类最全资料集锦
• GitHub：目标检测最全论文集锦
• GitHub：图像分割最全资料集锦
• GitHub：目标跟踪最全资料集锦
• GitHub：人群密度估计最全资料集锦
• GitHub：车道线检测最全资料集锦
• GitHub：TensorFlow最全资料集锦

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