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Text-instance graph: Exploring the relational semantics for text-based visual question answering

  • Published:2022-04 Issue: Volume:124 Page:108455
  • ISSN:0031-3203
  • Container-title:Pattern Recognition
  • language:en
  • Short-container-title:Pattern Recognition

Author:

Li Xiangpeng,Wu Bo,Song Jingkuan,Gao Lianli,Zeng Pengpeng,Gan Chuang

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. One-shot scene graph generation;Guo,2020

2. Two-stream 3-D convNet fusion for action recognition in videos with arbitrary size and length;Wang;IEEE Trans. Multimed.,2018

3. Examine before you answer: multi-task learning with adaptive-attentions for multiple-choice VQA;Gao,2018

4. Coupled-dynamic learning for vision and language: exploring interaction between different tasks;Xu;Pattern Recognit.,2021

5. Linguistically-aware attention for reducing the semantic gap in vision-language tasks;Kv;Pattern Recognit.,2020

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1. Oscar: Omni-scale robust contrastive learning for Text-VQA;Expert Systems with Applications;2024-12

2. Question guided multimodal receptive field reasoning network for fact-based visual question answering;Multimedia Tools and Applications;2024-05-20

3. Multimodal Visual-Semantic Representations Learning for Scene Text Recognition;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-03-27

4. So Many Heads, So Many Wits: Multimodal Graph Reasoning for Text-Based Visual Question Answering;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-02

5. Graph Pooling Inference Network for Text-based VQA;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-01-11
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