VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection

no code implementations • 20 Oct 2022 • Yi Liu, Xuan Zhang, Ying Li, Guixin Liang, Yabing Jiang, Lixia Qiu, Haiping Tang, Fei Xie, Wei Yao, Yi Dai, Yu Qiao, Yali Wang

For this reason, we propose to advance research areas of video understanding, with a shift from traditional action recognition to industrial anomaly analysis.

Temporal Defect Localization Video Defect Classification