Continual Learning for Segment Anything Model Adaptation
收藏DataCite Commons2025-03-31 更新2025-04-16 收录
下载链接：
https://ieee-dataport.org/documents/continual-learning-segment-anything-model-adaptation
下载链接
链接失效反馈官方服务：
资源简介：
To investigate SAM's potential in the continual scenario, we construct a benchmark for continual segmentation, called Continual SAM Adaptation Benchmark (CoSAM), which aims to systematically evaluate SAM-related algorithms's performance in the streaming scenarios. Specifically, CoSAM offers a set of 8 tasks covering diverse domains, including industrial defects, medical imaging, and camouflaged objects, to serve as a realistic and effective benchmark for evaluating current methods.
提供机构：
IEEE DataPort
创建时间：
2025-03-31
