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cs.CV2025
Pro-AD: Learning Comprehensive Prototypes with Prototype-based Constraint for Multi-class Unsupervised Anomaly Detection
Ziqing Zhou, Yurui Pan, Lidong Wang +4
Prototype-based reconstruction methods for unsupervised anomaly detection utilize a limited set of learnable prototypes which only aggregates insufficient normal information, resul…
cs.CV2022
Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework
Xiaodong Chen, Xinchen Liu, Wu Liu +4
Action recognition from videos, i.e., classifying a video into one of the pre-defined action types, has been a popular topic in the communities of artificial intelligence, multimed…