Attention Mechanism in Computer Vision

简介: 本文系统全面地介绍了Attention机制的不同类别,介绍了每个类别的原理、优缺点。

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概述


Attention机制目的在于聚焦有用的信息,并减少不重要信息的比重。Attention机制可以分为6大类,包括4个基础类别和2个组合类别。4个基础类别分别是通道注意力(channel attention),空间注意力(spatial attention),时间注意力(temporal attention),分支注意力(branch attention)。2个组合类别即通道与空间的组合,空间与时间的组合。欢迎关注公众号CV技术指南,专注于计算机视觉的技术总结、最新技术跟踪、经典论文解读


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本文来自公众号CV技术指南的YOLO系列专栏。欢迎关注公众号CV技术指南,专注于计算机视觉的技术总结、最新技术跟踪、最新论文解读、各种技术教程、CV招聘信息发布等。关注公众号可邀请加入免费版的知识星球和技术交流群。

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