PARSEE-VAD: Efficient Training-Free Online Video Anomaly Detection via Proposition-Aware Reasoning and Streaming Evidence Escalation

arXiv:2609.33236 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-29

Terminology

• AUC — 55× in this paper · explained in 2 episodes
• Benchmark — 17× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Fidelity — 6× in this paper · explained in 2 episodes
• Trace — 6× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Proposition-Aware Reasoning — 5× in this paper
• Streaming Evidence Escalation — 5× in this paper
• Provenance — 4× in this paper · explained in 3 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• International Conference on Machine Learning — 3× in this paper
• Robustness — 3× in this paper · explained in 5 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• Actionability — 1× in this paper · explained in 3 episodes
• Agentic AI — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• SphereVAD: Training-Free Video Anomaly Detection via Geodesic Inference on the Unit Hypersphere
• Flashback: Memory-Driven Zero-shot, Real-time Video Anomaly Detection
• MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection
• TD-VAD: Breaking Visual Dependence in Video Anomaly Detection with Text-Driven Learning

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