my paper~~
1.（DAP,IAP）Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
2.（ALE）Label-Embedding for Attribute-Based Classification
3.（SAE）Semantic Autoencoder for Zero-shot Learning CVPR2017
https://github.com/waitwaitforget/ZeroShotLearning
https://zhuanlan.zhihu.com/p/27779811（笔记）
4. （SCoRe）Semantically Consistent Regularization for Zero-Shot Recognition CVPR2017
https://github.com/pedro-morgado/score-zeroshot
https://zhuanlan.zhihu.com/p/27661503（笔记）
5.（LDF）Discriminative Learning of Latent Features for Zero-Shot Recognition CVPR2018
https://zhuanlan.zhihu.com/p/36030705（笔记）https://blog.csdn.net/cp_oldy/article/details/81607884
6.（GCN）Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs CVPR2018
https://github.com/JudyYe/zero-shot-gcn
7.（DEM）Learning a Deep Embedding Model for Zero-Shot Learning CVPR2017
https://github.com/lzrobots/DeepEmbeddingModel_ZSL（简单已跑通）
8. （SP-AEN）Zero-Shot Visual Recognition using Semantics-Preserving Adversarial Embedding Networks CVPR2018
https://github.com/zjuchenlong/sp-aen.cvpr18
9. （CVAE）A Generative Model For Zero Shot Learning Using Conditional Variational Autoencoders CVPR2018
https://github.com/ShivaKrishnaM/ZeroShot_CVAE
10. A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts CVPR 2018
https://github.com/EthanZhu90/ZSL_GAN_CVPR18
11. Generating Visual Representations for Zero-Shot Classification CVPR2018
https://github.com/maximebucher/Generating-Representations-ZSL
12.（硕士学位论文）基于属性学习的零样本图像分类研究
相关链接：
1. CVPR2018迁移学习相关论文：https://blog.csdn.net/cp_oldy/article/details/82183813
2. 2018之江杯全球人工智能大赛 - 零样本图像目标识别 简易baseline
https://github.com/wpwei/ZJL_zero_shot_learning_competition
3. https://www.zhihu.com/collection/189503788
4. https://blog.csdn.net/qq_38096703/article/details/80688072（类似7）
5. 论文三篇小结：https://blog.csdn.net/liuyuemaicha/article/details/73824827
6. 零次学习入门（三个问题）https://zhuanlan.zhihu.com/p/34656727
7. http://www.cnblogs.com/CSLaker/p/9277431.html#_label4（天涯惟笑）