Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/6c7a57b8-cfce-4fd5-b979-c107467493c9
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资源简介：
Visual Question Answering (VQA) has achieved great success thanks to the fast development of deep neural networks (DNN). On the other hand, the data augmentation, as one of the major tricks for DNN, has been widely used in many computer vision tasks.
提供机构：
TIB
创建时间：
2024-12-03
