LambdaNetworks: "LambdaNetworks: Modeling long-range Interactions without Attention", ICLR, 2021 ( Google).GCNet: "Global Context Networks", ICCVW, 2019 (& TPAMI 2020) ( Microsoft).AA: "Attention Augmented Convolutional Networks", ICCV, 2019 ( Google).HAT-Net: "Vision Transformers with Hierarchical Attention", arXiv, 2022 ( ETHZ).CoTNet: "Contextual Transformer Networks for Visual Recognition", CVPRW, 2021 ( JD).HaloNet: "Scaling Local Self-Attention For Parameter Efficient Visual Backbones", CVPR, 2021 ( Google).GSA: "Global Self-Attention Networks for Image Recognition", arXiv, 2020 ( Google).Axial-DeepLab: "Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation", ECCV, 2020 ( Google).SAN: "Exploring Self-attention for Image Recognition", CVPR, 2020 ( CUHK + Intel).Axial-Transformer: "Axial Attention in Multidimensional Transformers", arXiv, 2019 ( Google).SASA: "Stand-Alone Self-Attention in Vision Models", NeurIPS, 2019 ( Google).LR-Net: "Local Relation Networks for Image Recognition", ICCV, 2019 ( Microsoft).Image Classification / Backbone Replace Conv w/ Attention Pure Attention "Attention mechanisms and deep learning for machine vision: A survey of the state of the art", arXiv, 2021 ( University of Kashmir, India)."A Survey of Visual Transformers", arXiv, 2021 ( CAS)."A Survey of Transformers", arXiv, 2021 ( Fudan)."Survey: Transformer based Video-Language Pre-training", arXiv, 2021 ( Renmin University of China)."Transformers in Vision: A Survey", ACM Computing Surveys, 2021 ( MBZUAI)."Visual Attention Methods in Deep Learning: An In-Depth Survey", arXiv, 2022 ( Fayoum University, Egypt).
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"A Survey on Visual Transformer", TPAMI, 2022 ( Huawei).Transfer / X-Supervised / X-Shot / Continual Learning.Added all the related papers from CVPR 2022! Added all the related papers from ICML 2022! Added the Transformer tutorial slides made by Lucas Beyer!
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If you find this repository useful, please consider citing and ★STARing this list.įeel free to share this list with others! If you find some ignored papers, feel free to create pull requests, open issues, or email me.Ĭontributions in any form to make this list more comprehensive are welcome. This list is maintained by Min-Hung Chen. This repo contains a comprehensive paper list of Vision Transformer & Attention, including papers, codes, and related websites.