Learning deep networks for image classification
Visual Question Answering stands at the intersection of computer vision and natural language processing, bridging the semantic gap between visual information and textual queries. The dominant approach for this complex task, end-to-end models, do not demonstrate the difference between visual processi...
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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2024
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在線閱讀: | https://hdl.handle.net/10356/175074 |
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