Web: http://arxiv.org/abs/2107.13144

Sept. 15, 2022, 1:13 a.m. | Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko

cs.CV updates on arXiv.org arxiv.org

Convolutional neural networks (CNNs) have been not only widespread but also
achieved noticeable results on numerous applications including image
classification, restoration, and generation. Although the weight-sharing
property of convolutions makes them widely adopted in various tasks, its
content-agnostic characteristic can also be considered a major drawback. To
solve this problem, in this paper, we propose a novel operation, called pixel
adaptive kernel attention (PAKA). PAKA provides directivity to the filter
weights by multiplying spatially varying attention from learnable features. The …

arxiv attention kernel network pixel

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