《Learning Cross-modal Embeddings for Cooking Recipes and Food Images》閱讀筆記
來源：CVPR 2017 一、Introduction 文章要做的事情(recipe retreival)： 輸入：image（sentence）+dataset 輸出：sentence（image） rank list 在本文中介紹了Recipe1M數據集，並訓練一個食譜和圖像聯合嵌入的神經網絡，應用於圖像配方檢索任務上。另外，證明通過添加高級分類目標的正則化既提高了檢索性能。 二、R
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相關文章
- 1. 《Learning Cross-modal Embeddings for Cooking Recipes and Food Images》閱讀筆記
- 2. Learning Cross-modal Embeddings for Cooking Recipes and Food Images
- 3. Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs 閱讀筆記
- 4. Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs閱讀筆記
- 5. 論文閱讀筆記《TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning》
- 6. 《Supervised Multimodal Bitransformers for Classifying Images and Text》閱讀筆記
- 7. FeUdal Networks for Hierarchical Reinforcement Learning 閱讀筆記
- 8. Matching Networks for one Shot Learning 閱讀筆記
- 9. 《Translating Embeddings for Modeling Multi-relational Data》閱讀筆記
- 10. Deep Residual Learning for Image Recognition閱讀筆記