Few-Shot Learning with Global Class Representations笔记整理
Few-Shot Learning with Global Class Representations笔记整理 1 Introduction 在小样本学习（Few-Shot Learning, FSL）问题上，对于base classes中的每个类别，我们往往有充足的训练数据；对于那些novel classes中的每个类别，我们只有少量的带标签的数据。FSL旨在利用base calsses中大量的
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相关文章
- 1. 论文阅读笔记《Few-Shot Learning with Global Class Representations》
- 2. [论文笔记] Few-Shot Learning with Global Class Representations
- 3. Deep Image Retrieval: Learning global representations for image search
- 4. Think Locally, Act Globally: Federated Learning with Local and Global Representations
- 5. ReID简记-3-3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-id
- 6. 论文笔记----DeepWalk: Online Learning of Social Representations
- 7. 【笔记】Learning representations by back-propagating errors
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- 9. 论文阅读笔记《Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy》
- 10. 1604. Learning deep feature representations with domain guided dropout for re-id论文阅读笔记