SAM-Event-Adapter: Adapting Segment Anything Model for Event-RGB Semantic Segmentation
Bowen Yao,Yongjian Deng,Yuhan Liu,Hao Chen,Youfu Li,Zhen Yang,Bowen Yao,Yongjian Deng,Yuhan Liu,Hao Chen,Youfu Li,Zhen Yang
Semantic segmentation, a fundamental visual task ubiquitously employed in sectors ranging from transportation and robotics to healthcare, has always captivated the research community. In the wake of rapid advancements in large model research, the foundation model for semantic segmentation tasks, termed the Segment Anything Model (SAM), has been introduced. This model substantially addresses the di...
