4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CV2026
MMVIAD: Multi-view Multi-task Video Understanding for Industrial Anomaly Detection
Xiran Zhao, Jing Jin, Yan Bai +6
Industrial anomaly detection is critical for manufacturing quality control, yet existing datasets mainly focus on static images or sparse views, which do not fully reflect continuo…
cs.CV2022★ 4 cited
Dog nose print matching with dual global descriptor based on Contrastive Learning
Bin Li, Zhongan Wang, Nan Wu +2
Recent studies in biometric-based identification tasks have shown that deep learning methods can achieve better performance. These methods generally extract the global features as…