論文記錄：Detecting Visual Relationships with Deep Relational Networks [DR-Net] (CVPR-17)
（這裏僅記錄了論文的一些內容以及自己的一點點淺薄的理解，具體實驗尚未恢復。由於本人新人一枚，若有錯誤以及不足之處，還望不吝賜教） 總結 previous works 的缺點 將 VRD 視爲分類問題，即 consider each type of relationship (1, e . g . e.g. e.g. 「ride」) or each distinct visual phrase (2
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相關文章
- 1. 論文閱讀：Detecting Visual Relationships with Deep Relational Networks
- 2. Detecting Visual Relationships with Deep Relational Networks（閱讀筆記）
- 3. 論文閱讀：Detecting Visual Relationships Using Box Attention
- 4. Deep Anomaly Detection with Deviation Networks 論文筆記
- 5. 論文筆記：SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
- 6. 論文筆記SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
- 7. 論文筆記：ESWC 2018 Modeling Relational Data with Graph Convolutional Networks
- 8. 論文閱讀筆記: Modeling Relational Data with Graph Convolutional Networks
- 9. 《Relational inductive biases, deep learning, and graph networks》圖網絡 論文解讀
- 10. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】論文筆記