MMSFormer: Multimodal Transformer for Material and Semantic Segmentation
Leveraging information across diverse modalities is known to enhance performance on multimodal segmentation tasks.However, effectively fusing information from different modalities remains challenging due to the unique characteristics of each modality.In this paper, we propose a novel fusion strategy that can effectively fuse information from differ