A Multi-Modal Attentive Framework That Can Interpret Text (MMAT)
Deep learning algorithms have demonstrated exceptional performance on various computer vision and natural language processing tasks. However, for machines to learn information signals, they must understand and have enough reasoning power to respond to general questions based on the linguistic featur...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11072709/ |
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