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Answering Questions about Data Visualizations using Efficient Bimodal Fusion.

, , , , and . WACV, page 1487-1496. IEEE, (2020)

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Visual question answering: Datasets, algorithms, and future challenges., and . Comput. Vis. Image Underst., (2017)Answering Questions about Data Visualizations using Efficient Bimodal Fusion., , , , and . WACV, page 1487-1496. IEEE, (2020)A negative case analysis of visual grounding methods for VQA., , and . ACL, page 8172-8181. Association for Computational Linguistics, (2020)Answer Them All! Toward Universal Visual Question Answering Models., , and . CVPR, page 10472-10481. Computer Vision Foundation / IEEE, (2019)On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law., , , , , and . NeurIPS, (2020)Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers., , , , , , and . ECCV (25), volume 13685 of Lecture Notes in Computer Science, page 201-219. Springer, (2022)REMIND Your Neural Network to Prevent Catastrophic Forgetting., , , , and . ECCV (8), volume 12353 of Lecture Notes in Computer Science, page 466-483. Springer, (2020)AESOP: Abstract Encoding of Stories, Objects, and Pictures., , , , and . ICCV, page 2032-2043. IEEE, (2021)Learning To Predict Visual Attributes in the Wild., , , , , , and . CVPR, page 13018-13028. Computer Vision Foundation / IEEE, (2021)Data Augmentation for Visual Question Answering., , and . INLG, page 198-202. Association for Computational Linguistics, (2017)