Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition
Hierarchical Bilinear Pooling
for Fine-Grained Visual Recognition 文中貢獻 主要貢獻如下 使用簡單有效的交互層雙線性pooling技術，實現內部特徵層的交互。 基於交互層的雙線性pooling，使用一個剛性雙線性pooling結構。 模型結構 傳統的雙線性pooling 圖像I經過卷積網絡CNN，提取出特徵X, 其大小是h*w*
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相關文章
- 1. Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition論文筆記
- 2. 閱讀筆記（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》筆記
- 8. 論文筆記: (compact) Bilinear Pooling, Confusion
- 9. FGVC---Bilinear Pooling (雙線性池化)及其發展
- 10. 論文筆記之： Bilinear CNN Models for Fine-grained Visual Recognition