2 papers
cs.CV2026
One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control
Haoxiang Rao, Zhao Wang, Chenyang Si +4
Industrial anomaly detection (AD) is characterized by an abundance of normal images but a scarcity of anomalous ones. Although numerous few-shot anomaly synthesis methods have been…
cs.CV2025
A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention
Qiyu Xu, Zhanxuan Hu, Yu Duan +2
Generalized Category Discovery (GCD) aims to classify unlabeled data from both known and unknown categories by leveraging knowledge from labeled known categories. While existing me…