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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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Cite this as

Weiming Zhang, Yexin Liu, Xu Zheng, Lin Wang (2024). Dataset: GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model. https://doi.org/10.57702/cyr7lydz

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2403.16370
Author	Weiming Zhang
More Authors	Yexin Liu Xu Zheng Lin Wang
Homepage	https://vlislab22.github.io/GoodSAM/