[CVPR 2019 論文筆記] Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
廣義少樣本學習之對齊VAE 本文亮點：學習圖像和語義共享的隱含空間，爲未見類生成隱含特徵。 文章目錄 廣義少樣本學習之對齊VAE 論文下載 VAE 變分自編碼器 模型 Cross and Distribution Aligned VAE 參考 論文下載 CVPR 2019 VAE 變分自編碼器 變分自編碼器是一種生成模型。它包含兩部分，編碼器和解碼器。首先，編碼器在樣本 x x x 上學習一個樣本
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相關文章
- 1. 論文閱讀筆記《Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders》
- 2. [CVPR 2019] Adaptive Confidence Smoothing for Generalized Zero-Shot Learning
- 3. 【論文筆記】Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations
- 4. Gan-based zero-shot learning 論文整理
- 5. part-aligned系列論文：1707.Deeply-Learned Part-Aligned Representations for Person Re-Identification 論文筆記
- 6. Variational AutoEncoders
- 7. CVPR 2019 paper
- 8. [CVPR 2017] Semantic Autoencoder for Zero-Shot Learning論文筆記
- 9. [CVPR 2018 論文筆記] Preserving Semantic Relations for Zero-Shot Learning
- 10. 【論文筆記】Continual Relation Learning via Episodic Memory Activation and Reconsolidation