SimAM
基本信息 📰标题: SimAM: A Simple, Parameter-Free Attention Module for Convolutional Neural Networks 🖋️作者: Lingxiao Yang 🏛️机构: 1 Sun Yat-sen University […]
SANet
基本信息 📰标题: SA-NET: SHUFFLE ATTENTION FOR DEEP CONVOLUTIONAL NEURAL NETWORKS 🖋️作者: Qing-Long Zhang 🏛️机构: State Key Laboratory for Novel Software
Swin Transformer
基本信息 📰标题: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 🖋️作者: Ze Liu 🏛️机构: Microsoft Research Asia (微软亚洲研究院) 🔥关键词: Vision
Pyramid Vision Transformer
基本信息 📰标题: Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions 🖋️作者: Wenhai Wang 🏛️机构: Nanjing University（南京大学） 🔗链接:
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Attentional Feature Fusion
基本信息 📰标题: Attentional Feature Fusion 🖋️作者: Yimian Dai 🏛️机构: Nanjing University of Science and Technology (南京理工大学) 🔥关键词: Feature Fusion, Attention
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CANet：Coordinate Attention for Efficient Mobile Network Design
基本信息 📰标题: Coordinate Attention for Efficient Mobile Network Design 🖋️作者: Xiangyu Zhang 🏛️机构: Megvii Technology (旷视科技) 🔔关键词: Coordinate Attention, Mobile
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ECA-Net
基本信息 📰标题: ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks 🖋️作者: Qilong Wang 🏛️机构: Tianjin University（天津大学） 🔥关键词: Channel Attention,
Dual Attention Network
基本信息 📰标题: Dual Attention Network for Scene Segmentation 🖋️作者: Jun Fu 🏛️机构: 中科院 🔥关键词: Dual Attention Network, Scene Segmentation 摘要概述
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CBAM: Convolutional Block Attention Module
基本信息 📰标题: CBAM: Convolutional Block Attention Module 🖋️作者: Sanghyun Woo 🏛️机构: Korea Advanced Institute of Science and Technology (KAIST, 韩国科学技术院)
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Non-local Neural Networks
基本信息 📰标题: 非局部神经网络（Non-local Neural Networks） 🖋️作者: Xiaolong Wang 🏛️机构: Carnegie Mellon University（卡内基梅隆大学） 🔥关键词: Non-local operations, self-attention, video recognition, image classification
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