Hierarchical Synergy-Enhanced Multimodal Relational Network for Video Question Answering
Published 2023 View Full Article
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Title
Hierarchical Synergy-Enhanced Multimodal Relational Network for Video Question Answering
Authors
Keywords
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Journal
ACM Transactions on Multimedia Computing Communications and Applications
Volume -, Issue -, Pages -
Publisher
Association for Computing Machinery (ACM)
Online
2023-10-26
DOI
10.1145/3630101
References
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Related references
Note: Only part of the references are listed.- Learning visual question answering on controlled semantic noisy labels
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- Hierarchical Representation Network With Auxiliary Tasks for Video Captioning and Video Question Answering
- (2021) Lianli Gao et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Generalized pyramid co-attention with learnable aggregation net for video question answering
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- Long-Term Video Question Answering via Multimodal Hierarchical Memory Attentive Networks
- (2020) Ting Yu et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Multi-Turn Video Question Generation via Reinforced Multi-Choice Attention Network
- (2020) Zhaoyu Guo et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- Hierarchical Temporal Fusion of Multi-grained Attention Features for Video Question Answering
- (2019) Shaoning Xiao et al. NEURAL PROCESSING LETTERS
- Spatiotemporal-Textual Co-Attention Network for Video Question Answering
- (2019) Zheng-Jun Zha et al. ACM Transactions on Multimedia Computing Communications and Applications
- Video Question Answering with Spatio-Temporal Reasoning
- (2019) Yunseok Jang et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Fused GRU with semantic-temporal attention for video captioning
- (2019) Lianli Gao et al. NEUROCOMPUTING
- Long-Form Video Question Answering via Dynamic Hierarchical Reinforced Networks
- (2019) Zhou Zhao et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Unifying the Video and Question Attentions for Open-Ended Video Question Answering
- (2017) Hongyang Xue et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
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