5 papers
Bootstrapping Vision-Language Model for Hysteroscopic Surgical Scene Segmentation
Jun Huang, Meiyi Chen, Zijie Yue +6
Hysteroscopic surgical scene segmentation plays a pivotal role in understanding the hysteroscopic intraoperative environment as well as computer-assisted intervention. However, thi…
Weakly-Supervised Referring Video Object Segmentation through Text Supervision
Miaojing Shi, Jun Huang, Zijie Yue +1
Referring video object segmentation (RVOS) aims to segment the target instance in a video, referred by a text expression. Conventional approaches are mostly supervised learning, re…
Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement
Zijie Yue, Miaojing Shi, Hanli Wang +3
Facial video-based remote physiological measurement is a promising research area for detecting human vital signs (e.g., heart rate, respiration frequency) in a non-contact way. Con…
Enhancing Generalized Few-Shot Semantic Segmentation via Effective Knowledge Transfer
Xinyue Chen, Miaojing Shi, Zijian Zhou +2
Generalized few-shot semantic segmentation (GFSS) aims to segment objects of both base and novel classes, using sufficient samples of base classes and few samples of novel classes.…
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation
Xinyue Chen, Miaojing Shi
The performance of supervised semantic segmentation methods highly relies on the availability of large-scale training data. To alleviate this dependence, few-shot semantic segmenta…