Detecting Visual Relationships with Deep Relational Networks（閱讀筆記）
原文鏈接：Wenyuan’s Blog Introduction 圖像中的真實世界通常存在多種相互作用的物體。爲了理解這些圖像，僅僅做到對單個物體的識別是遠遠不夠的。物體間的關係也存在着很重要的信息。例如，圖像說明（image caption）是一種很受歡迎的計算機視覺應用能夠基於圖像中物體的關係生成豐富的語言描述。隨着深度學習的快速發展，我們目睹了計算機視覺在物體識別、場景分類、抽象檢測等幾項關
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相關文章
- 1. Detecting Visual Relationships with Deep Relational Networks（閱讀筆記）
- 2. 論文閱讀：Detecting Visual Relationships with Deep Relational Networks
- 3. 論文記錄：Detecting Visual Relationships with Deep Relational Networks [DR-Net] (CVPR-17)
- 4. 論文閱讀：Detecting Visual Relationships Using Box Attention
- 5. RGCN-Modeling Relational Data with Graph Convolutional Networks閱讀筆記
- 6. 論文閱讀筆記: Modeling Relational Data with Graph Convolutional Networks
- 7. Modeling-Relational-Data-with-Graph-Convolutional-Networks-閱讀筆記
- 8. GNN新作《Relational inductive biases，deep learning，and graph networks》讀書筆記
- 9. ImageNet Classification With Deep Convolutional Neural Networks閱讀筆記
- 10. 《Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition》閱讀筆記