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hdong51/MultiOOD

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong1 Yue Zhao2 Eleni Chatzi1 Olga Fink3 1ETH Zurich, 2University of Southern California, 3EPFL • arXiv • MultiOOD is the first-of-its-kind benchmark for Multimodal OOD Detection, characterized by diverse dataset sizes and varying modality combinations. Code https://github.com/donghao51/MultiOOD MultiOOD Benchmark… See the full description on the dataset page: https://huggingface.co/datasets/hdong51/MultiOOD.

Author / organizationhdong51
License (as declared)apache-2.0
Downloads1.2K (as reported by Hugging Face)
Likes0
Created19 May 2024
Last updated at source3 June 2024
Out-of-Distribution DetectionMultimodal Learning
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  • 16 Oct 2026 Description: MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong1 Yue Zhao2 Eleni Chatzi1 Olga Fink3 1ETH Zurich, 2University of Southern California, 3EPFL • arXiv • MultiOOD is the first-of-its-kind benchmark for Multimodal → MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong1 Yue Zhao2 Eleni Chatzi1 Olga Fink3 1ETH Zurich, 2University of Southern California, 3EPFL • arXiv • MultiOOD is the first-of-its-kind benchmark for Multimodal

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