In Defense of Grid Features for Visual Question Answering論文閱讀
In Defense of Grid Features for Visual Question Answering 論文閱讀 Abstract 作爲「自底向上」關注，基於邊界框（或區域）的視覺特徵最近已經超過了普通的基於網格的卷積特徵，成爲視覺和語言任務（如視覺問題回答（VQA））的事實標準。然而，還不清楚地區的區域（例如更好的定位）是否是自下而上注意力成功的關鍵原因。在這篇文章中，我們重新審視了
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相關文章
- 1. 論文閱讀：FVQA: Fact-based Visual Question Answering
- 2. 論文閱讀 Question Answering
- 3. 論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 4. 《Visual Question Generation as Dual Task of Visual Question Answering》閱讀筆記
- 5. 論文解讀：From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
- 6. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 論文閱讀筆記
- 7. nips 208 visual question answering 導讀
- 8. 粗讀CVPR2019 論文 Transfer Learning via Unsupervised Task Discovery for Visual Question Answering
- 9. Learning Conditioned Graph Structures for Interpretable Visual Question Answering論文解讀
- 10. Transfer Learning via Unsupervised Task Discovery for Visual Question Answering論文解讀