Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition

时间 2021-01-02

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Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition 文中贡献主要贡献如下使用简单有效的交互层双线性pooling技术，实现内部特征层的交互。基于交互层的双线性pooling，使用一个刚性双线性pooling结构。模型结构传统的双线性pooling 图像I经过卷积网络CNN，提取出特征X, 其大小是h*w*

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1. Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition论文笔记
2. 阅读笔记（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
3. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
4. SPPNet：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
5. VQA 之 Multimodal Compact Bilinear Pooling
6. Multi-view Harmonized Bilinear Network for 3D Object Recognition
7. 《Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering》笔记
8. 论文笔记: (compact) Bilinear Pooling, Confusion
9. FGVC---Bilinear Pooling (双线性池化)及其发展
10. 论文笔记之： Bilinear CNN Models for Fine-grained Visual Recognition
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1. Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition论文笔记
2. 阅读笔记（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
3. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
4. SPPNet：Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
5. VQA 之 Multimodal Compact Bilinear Pooling
6. Multi-view Harmonized Bilinear Network for 3D Object Recognition
7. 《Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering》笔记
8. 论文笔记: (compact) Bilinear Pooling, Confusion
9. FGVC---Bilinear Pooling (双线性池化)及其发展
10. 论文笔记之： Bilinear CNN Models for Fine-grained Visual Recognition

>>更多相关文章<<