Zero-shot out-of-distribution detection with outlier label exposure
As vision-language models like CLIP are widely applied to zero-shot tasks and gain remarkable performance on in-distribution (ID) data, detecting and rejecting out-of-distribution (OOD) inputs in the zero-shot setting have become crucial for ensuring the safety of using such models on the fly. Most...
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2024
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Online Access: | https://ink.library.smu.edu.sg/sis_research/9789 https://ink.library.smu.edu.sg/context/sis_research/article/10789/viewcontent/2406.01170v1.pdf |
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Institution: | Singapore Management University |
Language: | English |
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