e-ViL
Introduced by Kayser et al. in e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
e-ViL is a benchmark for explainable vision-language tasks. e-ViL spans across three datasets of human-written NLEs (natural language explanations), and provides a unified evaluation framework that is designed to be re-usable for future works.
This benchmark uses the following datasets: e-SNLI-VE, VCR, VQA-X.
Papers
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