4 papers
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…
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…
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…
Accurate Quantization for Gait Representation Learning
S. Tian, H. Gao, G. Hong +4
Existing deep learning methods have made significant progress in gait representation learning. Quantization can facilitate the application of gait models as a model-agnostic genera…