e-ViL: A Dataset and Benchmark for Natural Language Explanations in 
Vision-Language Tasks

Kayser, Maxime; Camburu, Oana-Maria; Salewski, Leonard; Emde, Cornelius; Do, Virginie; Akata, Zeynep; Lukasiewicz, Thomas

doi:10.1109/ICCV48922.2021.00128

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e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

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Akata, Zeynep
Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society;
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https://doi.org/10.1109/ICCV48922.2021.00128
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https://doi.org/10.48550/arXiv.2105.03761
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Kayser, M., Camburu, O.-M., Salewski, L., Emde, C., Do, V., Akata, Z., et al. (2022). e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV) (pp. 1224-1234). Piscataway, NJ: IEEE. doi:10.1109/ICCV48922.2021.00128.

Cite as: https://hdl.handle.net/21.11116/0000-000F-E958-8

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