Title
Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data Jiajie Li Brian R Quaranto Chenhui Xu Ishan Mishra Ruiyang Qin Dancheng Liu Peter C W Kim Jinjun Xiong 80 0 0 25 Jan 2025
LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models Zhenyue Qin Yu Yin Dylan Campbell Xuansheng Wu Ke Zou Yih-Chung Tham Ninghao Liu Xiuzhen Zhang Qingyu Chen 36 1 0 02 Oct 2024
Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features Fumiaki Sato Ryo Hachiuma Taiki Sekii 37 14 0 27 Mar 2023
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models Wenhao Wu Xiaohan Wang Haipeng Luo Jingdong Wang Yi Yang Wanli Ouyang 94 47 0 31 Dec 2022
Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking Shan Lin Albert J. Miao Jingpei Lu Shunkai Yu Zih-Yun Chiu Florian Richter Michael C. Yip 34 19 0 29 Oct 2022
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition Wenhao Wu Zhun Sun Wanli Ouyang VLM 87 93 0 04 Jul 2022
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos A. P. Twinanda S. Shehata Didier Mutter J. Marescaux M. de Mathelin N. Padoy 160 828 0 09 Feb 2016