Weakly-supervised video anomaly detection with contrastive learning of long and short-range temporal features
Anomaly detection with weakly supervised video-level labels is typically formulated as a multiple instance learning (MIL) problem, in which we aim to identify snippets containing abnormal events, with each video represented as a bag of video snippets. Although current methods show effective detectio...
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Main Authors: | , , , , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/7021 https://ink.library.smu.edu.sg/context/sis_research/article/8024/viewcontent/2101.10030.pdf |
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Institution: | Singapore Management University |
Language: | English |
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