Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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Material Type: Article
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Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question AnsweringInternational journal of computer vision, 2019-04, Vol.127 (4), p.398-414 [Peer Reviewed Journal]Springer Science+Business Media, LLC, part of Springer Nature 2018 ;COPYRIGHT 2019 Springer ;International Journal of Computer Vision is a copyright of Springer, (2018). All Rights Reserved. ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-018-1116-0Full text available |
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Material Type: Article
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VQA: Visual Question Answering: www.visualqa.orgInternational journal of computer vision, 2017-05, Vol.123 (1), p.4-31 [Peer Reviewed Journal]Springer Science+Business Media New York 2016 ;International Journal of Computer Vision is a copyright of Springer, 2017. ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-016-0966-6Full text available |
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3 |
Material Type: Article
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Formulation and clinical advancement of nanourchins: a novel multibranched nanoparticulate drug-delivery systemNanomedicine (London, England), 2022-08, Vol.17 (20), p.1477-1499 [Peer Reviewed Journal]2022 Future Medicine Ltd ;ISSN: 1743-5889 ;EISSN: 1748-6963 ;DOI: 10.2217/nnm-2022-0096 ;PMID: 36154464Full text available |
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4 |
Material Type: Article
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VQA: Visual Question AnsweringInternational journal of computer vision, 2017-05, Vol.123 (1), p.4 [Peer Reviewed Journal]COPYRIGHT 2017 Springer ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-016-0966-6Full text available |
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5 |
Material Type: Article
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Measuring Machine Intelligence Through Visual Question AnsweringThe AI magazine, 2016-03, Vol.37 (1), p.63-72 [Peer Reviewed Journal]2016 The Authors. AI Magazine published by John Wiley & Sons Ltd on behalf of Association for the Advancement of Artificial Intelligence ;COPYRIGHT 2016 American Association for Artificial Intelligence ;COPYRIGHT 2016 American Association for Artificial Intelligence ;Copyright Association for the Advancement of Artificial Intelligence Spring 2016 ;ISSN: 0738-4602 ;EISSN: 2371-9621 ;DOI: 10.1609/aimag.v37i1.2647Full text available |
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6 |
Material Type: Article
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An Examination of the Robustness of Reference-Free Image Captioning Evaluation MetricsarXiv.org, 2024-022024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.14998Full text available |
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7 |
Material Type: Article
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Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional UnderstandingarXiv.org, 2024-042024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.08832Full text available |
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8 |
Material Type: Article
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Improving Automatic VQA Evaluation Using Large Language ModelsarXiv.org, 2024-012024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.02567Full text available |
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9 |
Material Type: Article
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Investigating Prompting Techniques for Zero- and Few-Shot Visual Question AnsweringarXiv.org, 2024-012024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2306.09996Full text available |
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10 |
Material Type: Article
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MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language ModelarXiv.org, 2023-102023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://creativecommons.org/licenses/by/4.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2310.13265Full text available |
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11 |
Material Type: Article
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Measuring Progress in Fine-grained Vision-and-Language UnderstandingarXiv.org, 2023-052023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2305.07558Full text available |
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12 |
Material Type: Article
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Improving Text-to-Image Consistency via Automatic Prompt OptimizationarXiv.org, 2024-032024. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2403.17804Full text available |
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13 |
Material Type: Article
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MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot PromptingarXiv.org, 2023-032023. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2210.07179Full text available |
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14 |
Material Type: Article
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Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalizationhttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2205.12191Digital Resources/Online E-Resources |
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15 |
Material Type: Article
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Overcoming Language Priors in Visual Question Answering with Adversarial RegularizationarXiv.org, 2018-112018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1810.03649Full text available |
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16 |
Material Type: Article
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Single or Multiple Sourcing: A Method for Determining the Optimal Size of the Supply BaseTechnology operation management, 2012-12, Vol.3 (1-2), p.17-31 [Peer Reviewed Journal]Society of Operations Management 2013 ;Society of Operations Management 2012 ;ISSN: 0974-8091 ;EISSN: 2249-2364 ;DOI: 10.1007/s13727-013-0013-6Full text available |
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17 |
Material Type: Article
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Analyzing the Behavior of Visual Question Answering ModelsarXiv.org, 2016-092016. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1606.07356Full text available |
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18 |
Material Type: Article
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Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question AnsweringarXiv.org, 2018-062018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1712.00377Full text available |
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19 |
Material Type: Article
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An Introduction to Vision-Language Modelinghttp://arxiv.org/licenses/nonexclusive-distrib/1.0 ;DOI: 10.48550/arxiv.2405.17247Digital Resources/Online E-Resources |
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20 |
Material Type: Article
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C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 DatasetarXiv.org, 2017-042017. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.1704.08243Full text available |