Unifying the Video and Question Attentions for Open-Ended Video Question Answering
By Hongyang Xue, Zhou Zhao, Deng Cai. 2017
67 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Question Answering & Reading Comprehension
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Citations in the corpus
- NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions (2021, methodology): “For better comparison, we also reproduce UATT [53] which was proposed for generation-based open-ended QA by designing an order-preserved co-attention module.”
- Spatiotemporal-Textual Co-Attention Network for Video Question Answering (2019, background): “Moreover, these works [6, 50] only learn appearance representation without the exploration of motion patterns in videos.”
- Open-Ended Video Question Answering via Multi-Modal Conditional Adversarial Networks (2020, methodology): “• Unified method [2] is the co-attention reasoning network, which applied the attention mechanism on videos and questions to generate the natural language answer.”
- Multichannel Attention Refinement for Video Question Answering (2020, background): “Reference Reference [50] proposed to integrate both the sequential video attention and the temporal question attention to update features encoded by bi-directional LSTMs.”