3 papers
cs.CV2026
Hyperparameter-Free Boundary-Interior t-vMF Dice Loss for Medical Image Segmentation
Hinako Mitsuoka, Kazuhiro Hotta
Class imbalance and errors near anatomical boundaries remain challenges in medical image segmentation, motivating loss functions that account for these difficulties. Adaptive t-vMF…
cs.CV2026
Prompt-Free and Efficient SAM2 Adaptation for Biomedical Semantic Segmentation via Dual Adapters
Hinako Mitsuoka, Kazuhiro Hotta
Segment Anything Model 2 (SAM2) demonstrated impressive zero-shot capabilities on natural images but faces challenges in biomedical segmentation due to significant domain shifts an…
cs.CV2026
Combining Boundary Supervision and Segment-Level Regularization for Fine-Grained Action Segmentation
Hinako Mitsuoka, Kazuhiro Hotta
Recent progress in Temporal Action Segmentation (TAS) has increasingly relied on complex architectures, which can hinder practical deployment. We present a lightweight dual-loss tr…