论文阅读：Neural Motifs: Scene Graph Parsing with Global Context

时间 2021-01-02

标签 scene understanding 繁體版

原文原文链接

Neural-Motifs(CVPR2018) 文章链接官方github Paper给motif的定义是：regularly appearing substructures in scene graph。换句话说，subject和object的label对它们的relation影响很大，和DR-net差不多的想法，不过用了更复杂的网络来实现。基于motif的想法，paper提出了一个新

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1. 论文记录：Neural Motifs: Scene Graph Parsing with Global Context (CVPR-18)
2. [GCPNet]Scene Parsing with Global Context Embedding
3. 论文阅读理解 - Pyramid Scene Parsing Network
4. PSPNet：Pyramid Scene Parsing Network论文阅读
5. 论文导读｜Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
6. 论文阅读：《Human Parsing with Contextualized Convolutional Neural Network》ICCV 2015
7. 论文阅读：Learning Human-Object Interactions by Graph Parsing Neural Networks
8. 论文阅读SPCNet-Scene Text Detection with Supervised Pyramid Context Network
9. Graph-based Dependency Parsing with Graph Neural Networks
10. ACNet_ Adaptive Context Network for Scene Parsing

>>更多相关文章<<