Valder-Field / Awesome-CV-Attention

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Awesome-CV-Attention

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Contents

Misc

Challenge

Code

Technical blog

  • 深度学习注意力与记忆机制[Link]
  • 涨点神器GSA:全局自注意力网络,打造更强注意力模型[Link]
  • 一文看懂CV中的注意力机制[Link]

Datasets

Please refer to this page.

Papers

Considering the increasing number of papers in this field, we roughly summarize some articles and put them into the following categories (they are still listed in this document):

arXiv papers

Note that all unpublished arXiv papers are not included in the leaderboard of performance.

  • Rotate to Attend: Convolutional Triplet Attention Module[paper][code]
  • Neural encoding with visual attention[paper]
    Research on this paper [Link]
  • Deep High-Resolution Representation Learning for Visual Recognition[paper][code][video]
    Research on this paper [Link]
  • Attentional Feature Fusion[paper][paper][code]
    Research on this paper [Link]
  • Rethinking Attention with Performers[paper][code]
    Research on this paper [Link]
Earlier ArXiv Papers

2020

  • DCANet: Learning Connected Attentions for Convolutional Neural Networks (ECCV-2020)[paper]
    Research on this paper [Link]
  • Squeeze-and-Attention Networks for Semantic Segmentation (CVPR-2020)[paper]
  • Gated Channel Transformation for Visual Recognition (CVPR-2020)[paper][code]
    Research on this paper [Link]
  • ResNeSt: Split-Attention Networks (CVPR)[paper][code]
    Research on this paper [Link]
  • [HAttMatting] Attention-Guided Hierarchical Structure Aggregation for Image Matting (CVPR)[paper][code]
    Research on this paper [Link]
  • Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks (ECCV-2020)[paper]
    Research on this paper [Link]

2019

  • Deep High-Resolution Representation Learning for Visual Recognition(CVPR-2019)[paper][code]
    Research on this paper [Link]
  • Selective Kernel Networks (CVPR-2019)[paper][code]
    Research on this paper [Link]

2018

  • Non-local Neural Networks (CVPR 2018)[paper][code]
    Research on this paper [Link]
  • Dual Attention Network for Scene Segmentation (CVPR-2018)[paper][code]
    Research on this paper [Link]
  • Squeeze-and-Excitation Networks(CVPR-2018) [paper][code] Pytorch[code]
    Research on this paper [Link]
  • [CBAM] Convolutional Block Attention Module (ECCV)[paper]
    Research on this paper [Link]

2017

  • [CTFM] SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning (CVPR)[paper]

Leaderboard

The section is being continually updated. Note that some values have superscript, which indicates their source.

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