《Supervised Multimodal Bitransformers for Classifying Images and Text》閱讀筆記
《Supervised Multimodal Bitransformers for Classifying Images and Text》閱讀筆記 1 Why 2 What 3 How 3.1 文本特徵 3.2 圖片特徵 4 Result 5 Idea 6 Relatives 1 Why 現在越來越多模態化，文字信息通常夾帶着圖像、聲音、視頻以及各種傳感器的信號。但是很多的多模態數據是以文本爲主
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相關文章
- 1. 閱讀筆記（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 2. 《Learning Cross-modal Embeddings for Cooking Recipes and Food Images》閱讀筆記
- 3. Graph Convolutional Networks for Text Classification閱讀筆記
- 4. LSTM Recurrent Neural Networks for Short Text and Sentiment Classication文章閱讀筆記
- 5. 《MUTAN: Multimodal Tucker Fusion for Visual Question Answering》閱讀筆記
- 6. 《Multimodal Keyless Attention Fusionfor Video Classification》閱讀筆記
- 7. Weakly-supervised convolutional neural networks for multimodal image registration
- 8. SMA :Structured Multimodal Attentions for TextVQA --- 論文閱讀筆記
- 9. SA-M4C : Spatially Aware Multimodal Transformers for TextVQA --- 論文閱讀筆記
- 10. CVPR2017《Detecting Oriented Text in Natural Images by Linking Segments》閱讀筆記