SAM-family models split into occluder-aware types that avoid predicting into occluded regions and occluder-agnostic types that confidently segment hidden areas, shown via a new benchmark on polyp datasets.
Segment anything model for medical image analysis: an experimental study
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Seeing Through the Tool: A Controlled Benchmark for Occlusion Robustness in Foundation Segmentation Models
SAM-family models split into occluder-aware types that avoid predicting into occluded regions and occluder-agnostic types that confidently segment hidden areas, shown via a new benchmark on polyp datasets.