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Visual Attention Network. (arXiv:2202.09741v4 [cs.CV] UPDATED)
July 11, 2022, 1:12 a.m. | Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu
cs.CV updates on arXiv.org arxiv.org
While originally designed for natural language processing tasks, the
self-attention mechanism has recently taken various computer vision areas by
storm. However, the 2D nature of images brings three challenges for applying
self-attention in computer vision. (1) Treating images as 1D sequences neglects
their 2D structures. (2) The quadratic complexity is too expensive for
high-resolution images. (3) It only captures spatial adaptability but ignores
channel adaptability. In this paper, we propose a novel linear attention named
large kernel attention (LKA) to …
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