論文閱讀：Detecting Visual Relationships with Deep Relational Networks
DR-Net(CVPR2017) 文章 代碼也是先用檢測器將roi準備好，然後以這些roi爲輸入，與其他方法不同的是，該方法還需要記住roi的類別，文章提出jointly recognition，但在代碼中似乎不是這樣的。文中說qs, qr, qo在迭代更新的過程中，是有相互的信息傳遞的， 但代碼中只有qr更新會得到qs,qo的信息，而後兩者的更新不會得到qr的信息。並且代碼中qs和qo是
相關文章
- 1. Detecting Visual Relationships with Deep Relational Networks（閱讀筆記）
- 2. 論文記錄：Detecting Visual Relationships with Deep Relational Networks [DR-Net] (CVPR-17)
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相關文章
- 1. Detecting Visual Relationships with Deep Relational Networks（閱讀筆記）
- 2. 論文記錄：Detecting Visual Relationships with Deep Relational Networks [DR-Net] (CVPR-17)
- 3. 論文閱讀：Detecting Visual Relationships Using Box Attention
- 4. 論文閱讀筆記: Modeling Relational Data with Graph Convolutional Networks
- 5. 論文閱讀CENet-Detecting Text in the Wild with Deep character Embedding Network
- 6. 論文閱讀：DEEP CAPTIONING WITH MULTIMODAL RECURRENTNEURAL NETWORKS (M-RNN)
- 7. 《Relational inductive biases, deep learning, and graph networks》圖網絡 論文解讀
- 8. 論文閱讀：Deep Neural Networks for Object Detection
- 9. 論文閱讀：Collaborative Deep Embedding Via Dual Networks
- 10. 《Relational inductive biases, deep learning, and graph networks》論文解讀（轉載）