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IPAD: Industrial Process Anomaly Detection Dataset
April 24, 2024, 4:45 a.m. | Jinfan Liu, Yichao Yan, Junjie Li, Weiming Zhao, Pengzhi Chu, Xingdong Sheng, Yunhui Liu, Xiaokang Yang
cs.CV updates on arXiv.org arxiv.org
Abstract: Video anomaly detection (VAD) is a challenging task aiming to recognize anomalies in video frames, and existing large-scale VAD researches primarily focus on road traffic and human activity scenes. In industrial scenes, there are often a variety of unpredictable anomalies, and the VAD method can play a significant role in these scenarios. However, there is a lack of applicable datasets and methods specifically tailored for industrial production scenarios due to concerns regarding privacy and security. …
abstract anomaly anomaly detection arxiv cs.cv dataset detection focus human industrial ipad process role scale traffic type video
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