Relation-Aware Graph Attention Network for Visual Question Answering论文解读 - 代码天地

Relation-Aware Graph Attention Network for Visual Question Answering论文解读

其他 2020-04-02 11:58:34 阅读次数: 0

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转载自blog.csdn.net/weixin_42305378/article/details/103013846

Relation-Aware Graph Attention Network for Visual Question Answering论文解读

论文解读：A Focused Dynamic Attention Model for Visual Question Answering

Learning Conditioned Graph Structures for Interpretable Visual Question Answering论文解读

Out of the Box: Reasoning with Graph ConvolutionNets for Factual Visual Question Answering论文解读

Multi-modality Latent Interaction Network for Visual Question Answering论文解读

论文阅读：Learning Visual Question Answering by Bootstrapping Hard Attention

Question Directed Graph Attention Network for Numerical Reasoning over Text

Learning Visual Knowledge Memory Networks for Visual Question Answering论文解读

论文解读：Stacked Attention Networks for Image Question Answering

《Stacked Attention Networks for Image Question Answering》论文解读与实验

Relation-Aware Global Attention for Person Re-identification论文阅读整理

论文阅读：cvpr2020 行人重识别 Relation-Aware Global Attention

论文解读：Where To Look: Focus Regions for Visual Question Answering

论文笔记：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

论文：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering-阅读总结

MCAN：Deep Modular Co-Attention Networks for Visual Question Answering——2019 CVPR 论文笔记

[论文阅读]Visual Attention Network原文翻译

《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering》——2018 CVPR论文笔记

基于注意力机制的行人重识别(Reld)模型论文解读----Relation-Aware Global Attention for Person Re-identification

Visual Question Answering with Memory

论文解读：Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Info...

Transfer Learning via Unsupervised Task Discovery for Visual Question Answering论文解读

《Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering》

《Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering》笔记

（五十七）：Deep Modular Co-Attention Networks for Visual Question Answering

（五十九）：Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

CVPR 2018 Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

KGAT：Knowledge Graph Attention Network for Recommendation论文地址

【NIPS2018】Reasoning with Graph Convolution Nets for Factual Visual Question Answering【事实视觉问答推理】

论文阅读：Multimodal Graph Transformer for Multimodal Question Answering

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