2020 cvpr Hierarchical Conditional Relation Networks for Video Question Answering

時間 2020-12-30

標籤 VQA論文閱讀 VideoQA CRN 简体版

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摘要： problems：Video question answering (VideoQA) is challenging as it requires modeling capacity to distill dynamic visual artifacts and distant relations and to associate them with linguistic concepts

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1. Improved Neural Relation Detection for Knowledge Base Question Answering
2. Entity-Relation Extraction as Multi-turn Question Answering
3. Relation Networks for Object Detection [CVPR 2018]
4. Relation Distillation Networks for Video Object Detection
5. Appearance-and-Relation Networks for Video Classification
6. 論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
7. VQA1-2016-Stacked Attention Networks for Image Question Answering
8. Visual Question Answering with Memory-Augmented Networks
9. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 論文閱讀筆記
10. CVPR 2020文本圖像檢測與識別論文/代碼

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