ShadowMaskFormer: Mask Augmented Patch Embeddings for Shadow Removal

arXiv:2404.18433v1 Announce Type: new
Abstract: Transformer recently emerged as the de facto model for computer vision tasks and has also been successfully applied to shadow removal. However, these existing methods heavily rely on intricate modifications to the attention mechanisms within the transformer blocks while using a generic patch embedding. As a result, it often leads to complex architectural designs requiring additional computation resources. In this work, we aim to explore the efficacy of incorporating shadow information within the early processing …

abstract arxiv attention attention mechanisms computer computer vision cs.cv embedding embeddings however shadow tasks transformer type vision while