4 papers
Bayesian-based Online Label Shift Estimation with Dynamic Dirichlet Priors
Jiawei Hu, Javier A. Barria
Label shift, a prevalent challenge in supervised learning, arises when the class prior distribution of test data differs from that of training data, leading to significant degradat…
I&S-ViT: An Inclusive & Stable Method for Pushing the Limit of Post-Training ViTs Quantization
Yunshan Zhong, Jiawei Hu, Mingbao lin +2
Albeit the scalable performance of vision transformers (ViTs), the dense computational costs (training & inference) undermine their position in industrial applications. Post-traini…
YOLO-FDA: Integrating Hierarchical Attention and Detail Enhancement for Surface Defect Detection
Jiawei Hu
Surface defect detection in industrial scenarios is both crucial and technically demanding due to the wide variability in defect types, irregular shapes and sizes, fine-grained req…
Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction
Yunshan Zhong, You Huang, Jiawei Hu +2
Post-training quantization (PTQ) for vision transformers (ViTs) has received increasing attention from both academic and industrial communities due to its minimal data needs and hi…