Overcoming Data Limitations and Cross-Modal Interaction Challenges in Medical Visual Question Answering
Author:
Affiliation:
1. Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651345.pdf?arnumber=10651345
Reference33 articles.
1. VQAMix: Conditional Triplet Mixup for Medical Visual Question Answering
2. Manifold mixup: Better representations by interpolating hidden states;Verma
3. An encoder-decoder model for visual question answering in the medical domain;Allaouzi;Working Notes of CLEF,2019
4. Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
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