【論文筆記】CVPR2020 Interpretable and Accurate Fine-grained Recognition via Region Grouping

時間 2020-12-30

標籤論文筆記人工智能機器學習简体版

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Contribution proposed an interpretable deep model for fine-grained visual recognition: 做細粒度分類，但同時output the segmentation of object parts and the identification of their contributions towards classific

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1. 【論文筆記】CVPR2020 Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition
2. Bottom-up Object Detection by Grouping Extreme and Center Points 論文筆記
3. 論文筆記：Selective Search for Object Recognition
4. CVPR2020開源論文（部分帶閱讀筆記）
5. 【論文筆記2_超分辨】（IDN）Fast and Accurate Single Image Super-Resolution via Information Distillation Network
6. 【論文筆記】CVPR2020 Exploring Self-attention for Image Recognition
7. CVPR2020論文閱讀筆記
8. Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation 論文理解
9. 【論文筆記】Place Recognition with ConvNet Landmarks-2015
10. 論文筆記_S2D.18_ORBSLAM-Atlas a robust and accurate multi-map system

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