He et al., 2024 - Google Patents

Adversarial and focused training of abnormal videos for weakly-supervised anomaly detection

He et al., 2024

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Document ID
10030772791811087323
Author
He P
Zhang F
Li G
Li H
Publication year
Publication venue
Pattern Recognition

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Snippet

Due to the sparsity and scarcity of abnormal events, intra-video and inter-video data imbalance problems are fundamental issues for the weakly supervised video anomaly detection (WS-VAD) task. Many previous works have made great progress in the intra-video …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • G—PHYSICS
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    • G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
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