Abstract: Existing unsupervised video anomaly detection methods based on prediction typically employ a memory module to limit the generalization ability of the network so that normal frames can be ...
MatAnyone is a practical human video matting framework supporting target assignment, with stable performance in both semantics of core regions and fine-grained boundary details. To extract the ...
Abstract: Video sentence grounding (VSG) is the task of identifying the segment of an untrimmed video that semantically corresponds to a given natural language query. While many existing methods ...
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