nips 208 visual question answering 導讀
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization Modern Visual Question Answering (VQA) models have been shown to rely heavily on superficial correlations betwee
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相關文章
- 1. 《Visual Question Generation as Dual Task of Visual Question Answering》閱讀筆記
- 2. 《iVQA: Inverse Visual Question Answering》讀書筆記
- 3. 論文閱讀：FVQA: Fact-based Visual Question Answering
- 4. Visual Question Answering with Memory-Augmented Networks
- 5. 關於Visual Question Answering Eval
- 6. 論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 7. 閱讀筆記（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 8. 論文解讀：From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
- 9. 論文閱讀 Question Answering
- 10. RUBi: Reducing Unimodal Biases in Visual Question Answering