《Multi-level Attention Networks for Visual Question Answering》閱讀筆記
《Multi-level Attention Networks for Visual Question Answering》閱讀筆記 一、研究背景 effective semantic embedding and fine-grained visual understanding； 人類語言問題以明確的查詢意圖傳達強大的高級語義，而具有數萬個像素的真實世界圖像則相對低級且抽象，由於衆所周知的語義差
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相關文章
- 1. Multi-level Attention Networks for Visual Question Answering閱讀筆記
- 2. Stacked Attention Networks for Image Question Answering閱讀筆記
- 3. Question-Guided Spatio-Temporal Contextual Attention for Video Question Answering 論文閱讀筆記
- 4. 閱讀筆記（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 5. Multimodal Encoder-Decoder Attention Networks for Visual Question Answering論文筆記
- 6. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
- 7. Cycle-Consistency for Robust Visual Question Answering閱讀筆記
- 8. A Context-aware Attention Network for Interactive Question Answering--閱讀筆記
- 9. 《Visual Question Generation as Dual Task of Visual Question Answering》閱讀筆記
- 10. Visual Question Answering with Memory-Augmented Networks