GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model
This paper tackles a novel problem: how to transfer knowledge from the emerging Segment Anything Model (SAM) to learn a compact panoramic semantic segmentation model, i.e., student, without requiring any labeled data.
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