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Found 4 papers, 2 papers with code
SLSG: Industrial Image Anomaly Detection by Learning Better Feature Embeddings and One-Class Classification
Focusing on more effective and comprehensive anomaly detection, we propose a network based on self-supervised learning and self-attentive graph convolution (SLSG) for anomaly detection.
Ranked #3 on
Anomaly Detection
on MVTec LOCO AD
Video Event Restoration Based on Keyframes for Video Anomaly Detection
Video anomaly detection (VAD) is a significant computer vision problem.
Multi View Spatial-Temporal Model for Travel Time Estimation
Specifically, we use graph2vec to model the spatial view, dual-channel temporal module to model the trajectory view, and structural embedding to model traffic semantics.
Not only Look, but also Listen: Learning Multimodal Violence Detection under Weak Supervision
Violence detection has been studied in computer vision for years.
