3 papers
cs.CV2026
Neutral-Reference Prompting for Vision-Language Models
Senmao Tian, Xiang Wei, Shunli Zhang
Efficient transfer learning of vision-language models (VLMs) commonly suffers from a Base-New Trade-off (BNT): improving performance on unseen (new) classes often degrades accuracy…
cs.LG2025
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
Senmao Tian, Xiang Wei, Shunli Zhang
Class imbalance remains a critical challenge in semi-supervised learning (SSL), especially when distributional mismatches between labeled and unlabeled data lead to biased classifi…
cs.CV2025
GaitAdapt: Continual Learning for Evolving Gait Recognition
Jingjie Wang, Shunli Zhang, Xiang Wei +1
Current gait recognition methodologies generally necessitate retraining when encountering new datasets. Nevertheless, retrained models frequently encounter difficulties in preservi…