Towards Adaptive Human-centric Video Anomaly Detection: A Comprehensive Framework and A New Benchmark

Documents similaires

• ALFred: An Active Learning Framework for Real-world Semi-supervised Anomaly Detection with Adaptive Thresholds
  par: Yao, Shanle, et autres
  Publié: (2025)
• Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment
  par: Yao, Shanle, et autres
  Publié: (2024)
• A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment
  par: Noghre, Ghazal Alinezhad, et autres
  Publié: (2025)
• VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer
  par: Pazho, Armin Danesh, et autres
  Publié: (2023)
• Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer
  par: Noghre, Ghazal Alinezhad, et autres
  Publié: (2024)