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SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection

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2 Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2021.3127149

Abstract: Convolutional neural networks (CNNs) are good at extracting contexture features within certain receptive fields, while transformers can model the global long-range dependency features. By absorbing the advantage of transformer and the merit of CNN, Swin… read more here.

Keywords: rgb rgb; salient object; rgb; modality ... See more keywords