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IEICE Trans

Keyword : gate-sum mechanism

A Visual Question Answering Network Merging High- and Low-Level Semantic Information
Huimin LI Dezhi HAN Chongqing CHEN Chin-Chen CHANG Kuan-Ching LI Dun LI 
Publication:   IEICE TRANSACTIONS on Information and Systems
Publication Date: 2023/05/01
Vol. E106-D  No. 5 ; pp. 581-589
Type of Manuscript:  Special Section PAPER (Special Section on Deep Learning Technologies: Architecture, Optimization, Techniques, and Applications)
Category: Core Methods
Keyword: 
Visual Question Answering (VQA), deep attention mechanisms, adaptive weight learning, gate-sum mechanism, 
 Summary | Full Text:PDF