2020 cvpr Hierarchical Conditional Relation Networks for Video Question Answering
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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相關文章
- 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