Video Anomaly Detection: A Comprehensive Survey

• Exploration of deep learning-based VAD methods
• Adoption of weakly supervised and self-supervised approaches
• Integration of vision language models for enhanced detection

Opinion: The survey encapsulates the evolving landscape of Video Anomaly Detection, emphasizing the role of deep learning techniques in addressing challenges and paving the way for more sophisticated VAD systems.