《Supervised Multimodal Bitransformers for Classifying Images and Text》阅读笔记
《Supervised Multimodal Bitransformers for Classifying Images and Text》阅读笔记 1 Why 2 What 3 How 3.1 文本特征 3.2 图片特征 4 Result 5 Idea 6 Relatives 1 Why 现在越来越多模态化，文字信息通常夹带着图像、声音、视频以及各种传感器的信号。但是很多的多模态数据是以文本为主
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相关文章
- 1. 阅读笔记（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 2. 《Learning Cross-modal Embeddings for Cooking Recipes and Food Images》阅读笔记
- 3. Graph Convolutional Networks for Text Classification阅读笔记
- 4. LSTM Recurrent Neural Networks for Short Text and Sentiment Classication文章阅读笔记
- 5. 《MUTAN: Multimodal Tucker Fusion for Visual Question Answering》阅读笔记
- 6. 《Multimodal Keyless Attention Fusionfor Video Classification》阅读笔记
- 7. Weakly-supervised convolutional neural networks for multimodal image registration
- 8. SMA :Structured Multimodal Attentions for TextVQA --- 论文阅读笔记
- 9. SA-M4C : Spatially Aware Multimodal Transformers for TextVQA --- 论文阅读笔记
- 10. CVPR2017《Detecting Oriented Text in Natural Images by Linking Segments》阅读笔记