4 papers · 1 filter
Large-Small Model Collaboration for Zero-Shot Surgical Phase Recognition
Yiyi Zhang, Ying Zheng, Wenxin Fan +5
Task-specific lightweight models for surgical phase recognition excel at capturing temporal dynamics but generalize poorly under domain shift. Conversely, surgical foundation model…
Food-R1: A Unified Multi-Task Food Vision-Language Model with Reinforcement Learning
Yu Zhu, Yongkang Li, Wenjie Zhu +5
Recent studies have explored Vision-Language Models (VLMs) for food analysis. However, most existing methods rely primarily on supervised fine-tuning (SFT), which often limits reas…
Unlocking Positive Transfer in Incrementally Learning Surgical Instruments: A Self-reflection Hierarchical Prompt Framework
Yu Zhu, Kang Li, Zheng Li +1
To continuously enhance model adaptability in surgical video scene parsing, recent studies incrementally update it to progressively learn to segment an increasing number of surgica…
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
Yu Zhu, Kang Li, Lequan Yu +1
Recent studies have made remarkable progress in histopathology classification. Based on current successes, contemporary works proposed to further upgrade the model towards a more g…