BriefGPT.xyz
Jul, 2021
RAMS-Trans: 基于循环注意力多尺度变换器进行细粒度图像识别
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition
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Yunqing Hu, Xuan Jin, Yin Zhang, Haiwen Hong, Jingfeng Zhang...
TL;DR
通过使用注意力权重来测量原始图像对应的补丁符记的重要性,我们提出了递归注意力多尺度转换器(RAMS-Trans),它使用变压器的自我注意力以多尺度的方式递归地学习区分地区的注意力。
Abstract
In
fine-grained image recognition
(FGIR), the localization and amplification of region attention is an important factor, which has been explored a lot by convolutional neural networks (CNNs) based approaches. The recently developed
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