VC-VQA: Visual Calibration Mechanism for Visual Question Answering （VQA的視覺校準機制）
目錄 Abstract Introduction Method Overview VQA module Reconstruction module Loss function Experiments Ablation studies Performance on VQA v1 and VQA v2 dataset Conclusion 總結 Abstract 最近，許多研究指出VQA模型容易被數據
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相關文章
- 1. Prior Visual Relationship Reasoning for Visual Question Answering（VQA中的先驗視覺關係推理）
- 2. 【CVPR2018】Learning Visual Knowledge Memory Networks For Visual Question Answering【VQA視覺知識記憶網絡】
- 3. Visual Question Answering with Memory-Augmented Networks
- 4. nips 208 visual question answering 導讀
- 5. 閱讀筆記（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 6. 《Visual Question Generation as Dual Task of Visual Question Answering》閱讀筆記
- 7. 論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 8. MUREL: Multimodal Relational Reasoning for Visual Question Answering筆記
- 9. Learning Conditioned Graph Structures for Interpretable Visual Question Answering
- 10. 關於Visual Question Answering Eval