10 citations · 10 across the 1 of their papers we have counts for
2 papers
cs.CV2020
Interpretable Neural Computation for Real-World Compositional Visual Question Answering
Ruixue Tang, Chao Ma
There are two main lines of research on visual question answering (VQA): compositional model with explicit multi-hop reasoning, and monolithic network with implicit reasoning in th…
cs.CV2020★ 10 cited
Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
Ruixue Tang, Chao Ma, Wei Emma Zhang +2
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 maj…