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arXiv Computer Vision By Yiyi Zhang, Ying Zheng, Wenxin Fan, Yu Zhu, Yuchen Yuan, Litao Zhao, Zheng Li, Pheng-Ann Heng

Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition

Read the original on arXiv Computer Vision →

The paper introduces LaST, a large-small collaborative framework for zero-shot surgical phase recognition. It combines a foundation model that generates frame-level phase priors with a lightweight model that refines predictions through iterative temporal refinement, dynamic quality control, and dual-model cross-learning. Experiments show LaST outperforms baseline and state-of-the-art methods, achieving significant accuracy gains on unseen clinical domains.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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