Learning Semantic Concepts and Order for Image and Sentence Matching筆記
SCO模型閱讀筆記 論文：Learning Semantic Concepts and Order for Image and Sentence Matching 發表會議：CVPR2018 作者： 一、爲什麼看？ 好多關於圖像-文本檢索的文章，但是大多數都忽略了圖像的語義順序，當語義順序被忽略時，會造成檢索不準確，圖像和文本的語義完全相反。 看點：圖像的語義順序如何構建 應用：於跨模態圖像-文本
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相關文章
- 1. 《Learning Semantic Concepts and Order for Image and Sentence Matching》
- 2. Learning Semantic Concepts and Order for Image and Sentence Matching筆記
- 3. 讀論文，多區塊處理：Learning Semantic Concepts and Order forImage and Sentence Matching
- 4. Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information閱讀筆記
- 5. Image-Text Matching and VQA
- 6. [AAAI2019] DRr-Net:Dynamic Re-read Netwok for Sentence Semantic Matching
- 7. MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching
- 8. Locally Adaptive Color Correction for Underwater Image Dehazing and Matching
- 9. 語義分割--Learning Object Interactions and Descriptions for Semantic Image Segmentation
- 10. [論文筆記]FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval