Finding Task-Relevant Features for Few-Shot Learning by Category Traversal論文筆記

時間 2021-01-13

標籤 Few Shot 简体版

原文原文鏈接

Finding Task-Relevant Features for Few-Shot Learning by Category Traversal 原文爲CVPR 2019 Oral 原文鏈接 Motivation：文章指出很多Few shot的工作只關注query和support之間的特徵的區別（inter-class），而忽略了support set集合裏面本身的特徵就有區別（intra-

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1. Finding Task-Relevant Features for Few-Shot Learning by Category Traversal 論文筆記
2. 論文閱讀筆記《Finding Task-Relevant Features for Few-Shot Learning by Category Traversal 》
3. Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
4. 論文筆記：Learning Region Features for Object Detection
5. Learning Deep Features for Discriminative Localization論文筆記
6. 論文筆記：Learning Deep Features for Discriminative Localization
7. 【論文筆記】Representation Learning by Learning to Count
8. 論文閱讀筆記：Learning Deep Features for Discriminative Localization
9. 論文閱讀-《Learning Deep Features for Discriminative Localization》
10. [論文筆記]Learning Deep Features for Scene Recognition using Places Database

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