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SpA-Former: Transformer image shadow detection and removal via spatial attention. (arXiv:2206.10910v1 [cs.CV])
June 23, 2022, 1:10 a.m. | Xiao Feng Zhang, Chao Chen Gu, Shan Ying Zhu
cs.LG updates on arXiv.org arxiv.org
In this paper, we propose an end-to-end SpA-Former to recover a shadow-free
image from a single shaded image. Unlike traditional methods that require two
steps for shadow detection and then shadow removal, the SpA-Former unifies
these steps into one, which is a one-stage network capable of directly learning
the mapping function between shadows and no shadows, it does not require a
separate shadow detection. Thus, SpA-former is adaptable to real image
de-shadowing for shadows projected on different semantic regions. SpA-Former …
More from arxiv.org / cs.LG updates on arXiv.org
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