《Stacked Attention Networks for Image Question Answering》論文閱讀
《Stacked Attention Networks for Image Question Answering》論文閱讀 摘要 本文介紹了堆疊注意力網絡(SANs)，它學習從圖像中回答自然語言問題，San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，通過多次查詢一個映像，在四個圖像質量保證數據集上進行的實驗表明，該方法明顯優於以往的先進方法。 一、介紹 圖像中有幾個物體:自行車、窗戶、
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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閱讀筆記
- 3. Stacked Attention Networks for Image Question Answering心得體會
- 4. 論文閱讀 | Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction
- 5. 論文解讀：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 6. 論文閱讀 Question Answering
- 7. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 論文閱讀筆記
- 8. 《Multi-level Attention Networks for Visual Question Answering》閱讀筆記
- 9. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
- 10. DCN-Net《DYNAMIC COATTENTION NETWORKS FOR QUESTION ANSWERING》閱讀理解論文閱讀筆記