Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant 
and Covariant Semantic Editing

Agarwal, Vedika; Shetty, Rakshith; Fritz, Mario

doi:10.1109/CVPR42600.2020.00971

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Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing

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Agarwal, Vedika
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Shetty, Rakshith
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Agarwal, V., Shetty, R., & Fritz, M. (2020). Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9687-9695). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00971.

引用: https://hdl.handle.net/21.11116/0000-0005-7482-5

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