Results 161 to 170 of about 2,605 (177)
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Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
International Journal of Computer Vision, 2018Yash Goyal +2 more
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Swim VQA: A Multimodal Approach to Drowning Detection by Fusing VQA and LiDAR
2024 17th International Conference on Sensing Technology (ICST)Muhammad Zeeshan Khan +3 more
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VQA-MHUG: A gaze dataset to study multimodal neural attention in VQA
Proc. ACL SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2021openaire +1 more source
Recent advances in deep learning have greatly improved No-Reference Video Quality Assessment (NR-VQA), with fragment-based approaches significantly reducing computational complexity through random patch sampling. However, challenges remain due to the reliance on random sampling and the uniform weighting of patches, which limit global observation ...
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Does VQA Certification Matter? A Hedonic Analysis
Canadian Public Policy/ Analyse De Politiques, 2007Timothy K M Beatty
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Enhancing robust VQA via contrastive and self-supervised learning
Pattern RecognitionZhixin Li +2 more
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VQA and Visual Reasoning: An overview of approaches, datasets, and future direction
NeurocomputingJim Wilson Owusu +2 more
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