contrastive learning 1heterogeneous noise 1multi-view clustering 1quality-aware weighting 1robust learning 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Quality-Aware Robust Multi-View Clustering for Heterogeneous Observation Noise
Peihan Wu, Guanjie Cheng, Yufei Tong +2
The paper introduces QARMVC, a quality‑aware robust multi‑view clustering framework that estimates fine‑grained noise levels via reconstruction errors and uses instance‑level quali…
cs.CV2025
VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
Wenlong Li, Yifei Xu, Yuan Rao +2
Video anomaly detection (VAD) focuses on identifying anomalies in videos. Supervised methods demand substantial in-domain training data and fail to deliver clear explanations for a…