16 citations · 20 across the 5 of their papers we have counts for
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cs.CV2023★ 1 cited
S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
Wei Suo, Mengyang Sun, Weisong Liu +4
VQA Natural Language Explanation (VQA-NLE) task aims to explain the decision-making process of VQA models in natural language. Unlike traditional attention or gradient analysis, fr…
cs.CV2023★ 1 cited
AerialVLN: Vision-and-Language Navigation for UAVs
Shubo Liu, Hongsheng Zhang, Yuankai Qi +3
Recently emerged Vision-and-Language Navigation (VLN) tasks have drawn significant attention in both computer vision and natural language processing communities. Existing VLN tasks…
cs.CV2020★ 16 cited
Structured Multimodal Attentions for TextVQA
Chenyu Gao, Qi Zhu, Peng Wang +4
In this paper, we propose an end-to-end structured multimodal attention (SMA) neural network to mainly solve the first two issues above. SMA first uses a structural graph represent…