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- W3212386989 abstract "Abstract Humans can naturally and effectively find salient regions in complex scenes. Motivated by this observation, attention mechanisms were introduced into computer vision with the aim of imitating this aspect of the human visual system. Such an attention mechanism can be regarded as a dynamic weight adjustment process based on features of the input image. Attention mechanisms have achieved great success in many visual tasks, including image classification, object detection, semantic segmentation, video understanding, image generation, 3D vision, multimodal tasks, and self-supervised learning. In this survey, we provide a comprehensive review of various attention mechanisms in computer vision and categorize them according to approach, such as channel attention, spatial attention, temporal attention, and branch attention; a related repository https://github.com/MenghaoGuo/Awesome-Vision-Attentions is dedicated to collecting related work. We also suggest future directions for attention mechanism research." @default.
- W3212386989 created "2021-11-22" @default.
- W3212386989 creator A5013917396 @default.
- W3212386989 creator A5018791285 @default.
- W3212386989 creator A5037131575 @default.
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- W3212386989 creator A5049883689 @default.
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- W3212386989 creator A5059524537 @default.
- W3212386989 creator A5062345781 @default.
- W3212386989 creator A5067592804 @default.
- W3212386989 creator A5073967961 @default.
- W3212386989 date "2022-03-15" @default.
- W3212386989 modified "2023-10-11" @default.
- W3212386989 title "Attention mechanisms in computer vision: A survey" @default.
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