論文閱讀：Large-Scale Visual Relationship Understanding
Large-Scale Visual Relationship Understanding (AAAI 2019) 文章 本文的模型分爲兩部分：視覺模塊和語義模塊。 對於視覺模塊，作者認爲關係的存在依賴於主語和賓語物體的存在，但反過來並不是，換句話說就是關係識別是建立在物體識別之上的，但物體識別卻是獨立於關係識別的。因此，作者希望能學習從物體和關係共享的視覺特徵特徵空間到兩個獨立的語義嵌入
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相關文章
- 1. 論文閱讀：Visual Relationship Detection with Language Priors
- 2. 論文閱讀-understanding and diagnosing visual tracking
- 3. 【論文閱讀】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
- 4. 論文閱讀：Rethinking Visual Relationships for High-level Image Understanding
- 5. 論文閱讀：Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
- 6. 論文閱讀：Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
- 7. [ZFNet論文閱讀] Visualizing and Understanding Convolutional Networks
- 8. 『 論文閱讀』Understanding deep learning requires rethinking generalization
- 9. 論文閱讀：《Understanding Convolution for Semantic Segmentation》
- 10. Large Scale Holistic Video Understanding | 論文閱讀