Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly-Reference-Cited by-同舟云学术

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Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly

Published:2022 Issue: Volume: Page:148-166
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Whitehead Spencer,Petryk Suzanne,Shakib Vedaad,Gonzalez Joseph,Darrell Trevor,Rohrbach Anna,Rohrbach Marcus

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-20059-5_9

Reference66 articles.

1. Agrawal, A., Batra, D., Parikh, D., Kembhavi, A.: Don’t just assume; look and answer: overcoming priors for visual question answering. In: CVPR (2018)

2. Anderson, P., et al.: Bottom-up and top-down attention for image captioning and visual question answering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6077–6086 (2018)

3. Antol, S., et al.: VQA: visual question answering. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2425–2433 (2015)

4. Asan, O., Bayrak, A.E., Choudhury, A., et al.: Artificial intelligence and human trust in healthcare: focus on clinicians. J. Med. Internet Res. 22(6), e15154 (2020)

5. Bhattacharya, N., Li, Q., Gurari, D.: Why does a visual question have different answers? In: Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 4271–4280 (2019)

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2. Simple Token-Level Confidence Improves Caption Correctness;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. Benchmarking Out-of-Distribution Detection in Visual Question Answering;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

4. AI Software Reliability: Concepts and Related Domains;2023 2nd International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP);2023-10-27

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