SENSE-VAD introduces the first synthetic benchmark dataset with per-frame labels for socially complex anomalies in autonomous driving scenes and shows existing video anomaly detectors fail on them.
Pfsd: A multi-modal pedestrian-focus scene 9 dataset for rich tasks in semi-structured environments.arXiv preprint arXiv:2502.15342, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving
SENSE-VAD introduces the first synthetic benchmark dataset with per-frame labels for socially complex anomalies in autonomous driving scenes and shows existing video anomaly detectors fail on them.