3 papers
cs.CV2026
Decoupled Complementary Spectral-Spatial Learning for Background Representation Enhancement in Hyperspectral Anomaly Detection
Wenping Jin, Li Zhu, Fei Guo
A recent class of hyperspectral anomaly detection methods can be trained once on background datasets and then deployed universally without per-scene retraining or parameter tuning,…
cs.CV2026
Semantic-Deviation-Anchored Multi-Branch Fusion for Unsupervised Anomaly Detection and Localization in Unstructured Conveyor-Belt Coal Scenes
Wenping Jin, Yuyang Tang, Li Zhu
Reliable foreign-object anomaly detection and pixel-level localization in conveyor-belt coal scenes are essential for safe and intelligent mining operations. This task is particula…
cs.CV2025
Aligning First, Then Fusing: A Novel Weakly Supervised Multimodal Violence Detection Method
Wenping Jin, Li Zhu, Jing Sun
Weakly supervised violence detection refers to the technique of training models to identify violent segments in videos using only video-level labels. Among these approaches, multim…