作者:Amusi
Date:2020-09-05
來源: CVer微信公衆號
原文: GitHub:Anchor-free目標檢測最全資料集錦
前言
Anchor-free 目標檢測 無疑是近一兩年內目標檢測非常重要的研究方向之一,Amusi 覺得特別是得益於DenseBox、CornerNet、FCOS和CenterNet等網絡的創新性提出。
近兩年裏,CVPR 2019、ICCV 2019、CVPR 2020和ECCV 2020上出現了不少anchor-free目標檢測的優質工作。"先富帶後富",近來也有若干anchor-free目標跟蹤網絡的提出。
Amusi 在本文要分享的是目前最全,最新的anchor-free目標檢測論文合集。
Anchor-free目標檢測
項目作者:Xin Zhang, Xuesong Wang, nuo xu
XinZhangNLPR/awesome-anchor-free-object-detection
本項目共計涵蓋 24篇anchor-free目標檢測論文,其中論文大多爲頂會且已開源!
- 論文以年份進行歸類劃分(從2015到2020)
- 每篇論文給出了是否收錄的狀態(如arXiv,CVPR)
- 已開源的論文給出了相應實現的框架名稱(如PyTorch)
- 已開源的論文star數量>100,則帶有 標識
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
一份超級棒的Anchor-free 目標檢測學習資料,強烈推薦大家學習!
https://github.com/XinZhangNLPR/awesome-anchor-free-object-detection
另外強烈推薦閱讀,Amusi 整理過的最全資料系列如下:
- GitHub:深度學習最全資料集錦
- GitHub:圖像分類最全資料集錦
- GitHub:目標檢測最全論文集錦
- GitHub:圖像分割最全資料集錦
- GitHub:目標跟蹤最全資料集錦
- GitHub:人羣密度估計最全資料集錦
- GitHub:車道線檢測最全資料集錦
- GitHub:TensorFlow最全資料集錦
推薦大家關注計算機視覺論文速遞知乎專欄和CVer微信公衆號,可以快速瞭解到最新優質的CV論文。
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