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What is Efficient RGB+X Segmentation Framework about?

This paper presents a novel parameter-efficient symmetrical framework for RGB+X semantic segmentation, addressing the limitations of previous methods that primarily relied on RGB data. The proposed approach includes a Modality-Aware Prompting and Adaptation module and a Dynamic Sparse Cross-modality Fusion module to enhance feature representation and reduce noise during modality fusion. Experimental results demonstrate that this method outperforms state-of-the-art techniques across multiple datasets with mi

Author

Nick Leeson

Language

EN