HIGHLIGHTS
- who: Shailza Jolly et al. from the University of Amsterdam, Germany have published the article: EaSe: A Diagnostic Tool for VQA based on Answer Diversity, in the Journal: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 2407-2414 June 6-11, 2021. u00a92021 Association for Computational Linguistics of /2021/
- what: The authors propose E A S E a simple diagnostic tool for Visual Question Answering (VQA) which quantifies the difficulty of an image question sample. The authors show that E A S E . . .
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