Anomaly detection under distribution shift
Anomaly detection (AD) is a crucial machine learning task that aims to learn patterns from a set of normal training samples to identify abnormal samples in test data. Most existing AD studies assume that the training and test data are drawn from the same data distribution, but the test data can have...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2023
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| Online Access: | https://ink.library.smu.edu.sg/sis_research/8415 https://ink.library.smu.edu.sg/context/sis_research/article/9418/viewcontent/Cao_Anomaly_Detection_Under_Distribution_Shift_ICCV_2023_paper.pdf |
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| Institution: | Singapore Management University |
| Language: | English |