3 papers
cs.LG2026
Unmasking Removal-Budget Confounding: A Matched Operating-Point Evaluation Framework for Adaptive Data Cleaning
Wei-Hsiang Chen, Pin-Hsuan Yu, Chen-Hsuan Fang +1
Adaptive data-cleaning methods replace manual filtering thresholds with data-driven partitions. However, changing the partition granularity, the number of groups used to segment sa…
cs.CV2026
An Adaptive Data cleaning Framework for Noisy Label Detection
Chen-Hsuan Fang, Wei-Hsinag Chen, Pin-Hsuan Yu +2
Deep neural networks (DNNs) excel in computer vision tasks given large annotated datasets. In real-world applications, however, labels are often corrupted by ambiguity, human error…
eess.IV2024
KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation
Chenglin Fang, Kaigui Wu
The U-Net model has consistently demonstrated strong performance in the field of medical image segmentation, with various improvements and enhancements made since its introduction.…