[CVPR 18] Transductive Unbiased Embedding for Zero-Shot Learning
阿里巴巴&浙大Poster论文：基于直推式无偏嵌入的零样本学习 Transductive Unbiased Embedding for Zero-Shot Learning 本文亮点：用语义指导网络学习.。 摘要 摘要：大多数现有的零样本学习（Zero-Shot Learning，ZSL）方法都存在强偏问题：训练阶段看不见（目标）类的实例在测试时往往被归类为所看到的（源）类之一。因此，在广义 ZS
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相关文章
- 1. 【论文学习笔记】Transductive Unbiased Embedding for Zero-Shot Learning (2018_CVPR)
- 2. Transductive Unbiased Embedding for Zero-Shot Learning阅读笔记
- 3. [CVPR 18] Discriminative Learning of Latent Features for Zero-Shot Recognition
- 4. 论文阅读笔记《Learning Embedding Adaptation for Few-Shot Learning》
- 5. 转导推理——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. 论文阅读笔记《Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning》