Stacked Attention Networks for Image Question Answering閱讀筆記
本文提出了一種學習從圖像中回答自然語言問題的疊層注意力網絡（SANs）。SANs使用問題的語義表示作爲查詢來搜索圖像中與答案相關的區域。 文章鏈接：Stacked Attention Networks for Image Question Answering 一、模型 SAN由三個主要部分組成： （1）圖像模型，使用CNN提取高級圖像表示； （2）問題模型，使用CNN或LSTM提取問題的語義向量；
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相關文章
- 1. VQA1-2016-Stacked Attention Networks for Image Question Answering
- 2. 《Stacked Attention Networks for Image Question Answering》論文閱讀
- 3. 《Multi-level Attention Networks for Visual Question Answering》閱讀筆記
- 4. Stacked Attention Networks for Image Question Answering心得體會
- 5. Multi-level Attention Networks for Visual Question Answering閱讀筆記
- 6. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 論文閱讀筆記
- 7. 《Pyramid Attention Networks for Image Restoration》閱讀筆記
- 8. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
- 9. A Context-aware Attention Network for Interactive Question Answering--閱讀筆記
- 10. 論文閱讀 | Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction