VC-VQA: Visual Calibration Mechanism for Visual Question Answering （VQA的视觉校准机制）
目录 Abstract Introduction Method Overview VQA module Reconstruction module Loss function Experiments Ablation studies Performance on VQA v1 and VQA v2 dataset Conclusion 总结 Abstract 最近，许多研究指出VQA模型容易被数据
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相关文章
- 1. Prior Visual Relationship Reasoning for Visual Question Answering（VQA中的先验视觉关系推理）
- 2. 【CVPR2018】Learning Visual Knowledge Memory Networks For Visual Question Answering【VQA视觉知识记忆网络】
- 3. Visual Question Answering with Memory-Augmented Networks
- 4. nips 208 visual question answering 导读
- 5. 阅读笔记（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 6. 《Visual Question Generation as Dual Task of Visual Question Answering》阅读笔记
- 7. 论文解读：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 8. MUREL: Multimodal Relational Reasoning for Visual Question Answering笔记
- 9. Learning Conditioned Graph Structures for Interpretable Visual Question Answering
- 10. 关于Visual Question Answering Eval