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cs.CV2025
Revolutionizing Precise Low Back Pain Diagnosis via Contrastive Learning
Thanh Binh Le, Hoang Nhat Khang Vo, Tan-Ha Mai +1
Low back pain affects millions worldwide, driving the need for robust diagnostic models that can jointly analyze complex medical images and accompanying text reports. We present Lu…
cs.LG2025
Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning
Tan-Ha Mai, Hsuan-Tien Lin
In this paper, we investigate the challenges of complementary-label learning (CLL), a specialized form of weakly-supervised learning (WSL) where models are trained with labels indi…