Few-Shot Learning with Global Class Representations筆記整理
Few-Shot Learning with Global Class Representations筆記整理 1 Introduction 在小樣本學習（Few-Shot Learning, FSL）問題上，對於base classes中的每個類別，我們往往有充足的訓練數據；對於那些novel classes中的每個類別，我們只有少量的帶標籤的數據。FSL旨在利用base calsses中大量的
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相關文章
- 1. 論文閱讀筆記《Few-Shot Learning with Global Class Representations》
- 2. [論文筆記] 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簡記-3-3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-id
- 6. 論文筆記----DeepWalk: Online Learning of Social Representations
- 7. 【筆記】Learning representations by back-propagating errors
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- 9. 論文閱讀筆記《Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy》
- 10. 1604. Learning deep feature representations with domain guided dropout for re-id論文閱讀筆記