Continual Learning for Segment Anything Model Adaptation
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/continual-learning-segment-anything-model-adaptation
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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：
Yang, Jinglong
