FUVAS: Few-shot Unsupervised Video Anomaly Segmentation Via Low-Rank Factorization of Spatio-Temporal Features
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)（2025）
关键词
Spatiotemporal Characteristics,Low-rank Factorization,Video Anomaly,Anomaly Segmentation,Deep Neural Network,Feature Space,Video Frames,Transformer Model,Anomaly Detection,Convolutional Model,Backbone Architecture,Spatial Segmentation,Training Data,Convolutional Neural Network,Computer Vision,Data Matrix,Spatial Dimensions,Intersection Over Union,Transformation Matrix,Training Videos,Singular Value Decomposition,Inliers,Normal Pattern,Segmentation Map,Handcrafted Features,Video Data,Set Of Videos,Require Training Data,Computational Requirements
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