論文-《MUREL: Multimodal Relational Reasoning for Visual Question Answering Remi》重點翻譯+擴展
Multimodal attentional networks are currently state-of-the-art models for Visual Question Answering (VQA) tasks involving real images. 多模態注意力網絡是目前最先進的涉及真實圖像的VQA任務模型。 In this paper, we propose MuRe
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相關文章
- 1. MUREL: Multimodal Relational Reasoning for Visual Question Answering筆記
- 2. 論文-《Visual Question Answering A tutorial》重點翻譯+擴展
- 3. 論文-《Answer Them All! Toward Universal Visual Question Answering Models》重點翻譯+擴展
- 4. 論文-《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering 》重點翻譯+擴展
- 5. Multimodal Encoder-Decoder Attention Networks for Visual Question Answering論文筆記
- 6. 論文筆記：Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering
- 7. 閱讀筆記（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 8. nips 208 visual question answering 導讀
- 9. 論文閱讀：FVQA: Fact-based Visual Question Answering
- 10. 論文-《Visual Question Answering A tutorial》筆記