A Weak Supervision-based Robust Pretraining Method for Medical Visual Question Answering
Author:
Affiliation:
1. Harbin Engineering University,College of Computer Science and Technology,Harbin,Peoples Republic of China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385332.pdf?arnumber=10385332
Reference18 articles.
1. Consistency-Preserving Visual Question Answering in Medical Imaging
2. A Question-Centric Model for Visual Question Answering in Medical Imaging
3. PubMedCLIP: How Much Does CLIP Benefit Visual Question Answering in the Medical Domain?
4. Towards deep learning models resistant to adversarial attacks;Madry,2017
5. Explaining and harnessing adversarial examples;Goodfellow,2014
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