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作者｜xys430381_1 https://blog.csdn.net/xys430381_1/article/details/89323444 本文仅作学术分享，著作权归作者所有，如有侵权，请联系后台作删文处理。 目录 概要 为什么需要视觉注意力 注意力分类与基本概念 软注意力 The application of two-level attention models in deep convolutional neural network for fine-grained image classification---CVPR2015 1. Spatial Transformer Networks(空间域注意力)---2015 nips 2. SENET （通道域）---2017CPVR 3. Residual Attention Network(混合域)---2017 Non-local Neural Networks, CVPR2018 Interaction-aware Attention, ECCV2018 CBAM: Convolutional Block Attention Module(通道域+空间域), ECCV2018 DANet：Dual Attention Network for Scene Segmentation(空间域+通道域), CPVR2019 CCNet OCNet GCNet:Non-local Networks Meet Squeeze-Excitation Networks and Beyond 注意增强型卷积 PAN: Pyramid Attention Network for Semantic Segmentation(层域)---CVPR2018 Multi-Context Attention for Human Po
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