2 papers
cs.CV2026
Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
Shiqin Wang, Haoyang Chen, Huaizhou Huang +6
The learning order of semantic classes significantly impacts unsupervised domain adaptation for semantic segmentation, especially under adverse weather conditions. Most existing cu…
cs.CV2024
BSDA: Bayesian Random Semantic Data Augmentation for Medical Image Classification
Yaoyao Zhu, Xiuding Cai, Xueyao Wang +3
Data augmentation is a crucial regularization technique for deep neural networks, particularly in medical image classification. Mainstream data augmentation (DA) methods are usuall…