5 papers
Rethinking Exposure Correction for Spatially Non-uniform Degradation
Ao Li, Jiawei Sun, Le Dong +2
Real-world exposure correction is fundamentally challenged by spatially non-uniform degradations, where diverse exposure errors frequently coexist within a single image. However, e…
Dual Distillation for Few-Shot Anomaly Detection
Le Dong, Qinzhong Tan, Chunlei Li +5
Anomaly detection is a critical task in computer vision with profound implications for medical imaging, where identifying pathologies early can directly impact patient outcomes. Wh…
High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation
Le Dong, Jinghao Bian, Jingyang Hou +5
Medical image analysis faces significant challenges in data sharing due to privacy regulations and complex institutional protocols. Dataset distillation offers a solution to addres…
MST-Distill: Mixture of Specialized Teachers for Cross-Modal Knowledge Distillation
Hui Li, Pengfei Yang, Juanyang Chen +3
Knowledge distillation as an efficient knowledge transfer technique, has achieved remarkable success in unimodal scenarios. However, in cross-modal settings, conventional distillat…
ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image Retrieval
Le Dong, Qixuan Cao, Lei Pu +4
ERVD: An Efficient and Robust ViT-Based Distillation Framework for Remote Sensing Image Retrieval