[CVPR 18] Transductive Unbiased Embedding for Zero-Shot Learning
阿里巴巴&浙大Poster論文：基於直推式無偏嵌入的零樣本學習 Transductive Unbiased Embedding for Zero-Shot Learning 本文亮點：用語義指導網絡學習.。 摘要 摘要：大多數現有的零樣本學習（Zero-Shot Learning，ZSL）方法都存在強偏問題：訓練階段看不見（目標）類的實例在測試時往往被歸類爲所看到的（源）類之一。因此，在廣義 ZS
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相關文章
- 1. 【論文學習筆記】Transductive Unbiased Embedding for Zero-Shot Learning (2018_CVPR)
- 2. Transductive Unbiased Embedding for Zero-Shot Learning閱讀筆記
- 3. [CVPR 18] Discriminative Learning of Latent Features for Zero-Shot Recognition
- 4. 論文閱讀筆記《Learning Embedding Adaptation for Few-Shot Learning》
- 5. 轉導推理——Transductive Learning
- 6. Official Program for CVPR 2015
- 7. Supervised Learning Neighbor Embedding
- 8. embedding entities and relations for learning and inference knowledge base
- 9. FEELVOS：Fast End-to-End Embedding Learning for Video Object Segmentation
- 10. 論文閱讀筆記《Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning》