SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection
SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection
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 Transformer shows strong feature representation ability. Based on it, we propose a cross-modality fusion model, …