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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Bibliographic Details
Main Authors: DING, Choubo, PANG, Guansong
Format: text
Language:English
Published: 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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