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https://github.com/sbharadwajj/awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning
https://github.com/sbharadwajj/awesome-zero-shot-learning
List: awesome-zero-shot-learning
awesome-list deep-learning papers zero-shot-learning
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A curated list of papers, code and resources pertaining to zero shot learning
Host: GitHub
URL: https://github.com/sbharadwajj/awesome-zero-shot-learning
Owner: sbharadwajj
Created: 2018-10-11T17:00:16.000Z (about 6 years ago)
Default Branch: master
Last Pushed: 2021-07-28T08:17:13.000Z (over 3 years ago)
Last Synced: 2024-07-31T04:01:59.756Z (3 months ago)
Topics: awesome-list, deep-learning, papers, zero-shot-learning
Homepage:
Size: 143 KB
Stars: 906
Watchers: 41
Forks: 163
Open Issues: 7
Metadata Files:
- Readme: README.md
Awesome Lists containing this project

awesome-interesting-topics-in-nlp - CV
ultimate-awesome - awesome-zero-shot-learning - A curated list of papers, code and resources pertaining to zero shot learning. (Other Lists / PowerShell Lists)
jimsghstars - sbharadwajj/awesome-zero-shot-learning - A curated list of papers, code and resources pertaining to zero shot learning (Others)
README

        # Zero-Shot Learning

[![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

A curated list of resources including papers, comparitive results on standard datasets and relevant links pertaining to zero-shot learning.  

## Contributing

Contributions are welcome. Please see the [issue](https://github.com/chichilicious/awesome-zero-shot-learning/issues/2) which lists the things which are planned to be included in this repo. If you wish to contribute within these boundaries, feel free to send a PR. If you have suggestions for new sections to be included, please raise an issue and discuss before sending a PR.

## Table of Contents

+ [Papers](#Papers)

+ [Datasets](#Datasets)

+ [Starter code for ZSL](#Starter-Code)

+ [Other Resources](#Other-resources)

## Zero-Shot Object Classification

### Papers

#### CVPR 2021

+ Liu Bo, Qiulei Dong and Zhanyi Hu. "Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning" [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Bo_Hardness_Sampling_for_Self-Training_Based_Transductive_Zero-Shot_Learning_CVPR_2021_paper.pdf)

+ Zongyan Han, Zhenyong Fu, Shuo Chen and Jian Yang "Contrastive Embedding for Generalized Zero-Shot Learning" [[pdf]](https://arxiv.org/pdf/2103.16173.pdf) [[code]](https://github.com/Hanzy1996/CE-GZSL)

+ Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada. "Goal-Oriented Gaze Estimation for Zero-Shot Learning" [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Goal-Oriented_Gaze_Estimation_for_Zero-Shot_Learning_CVPR_2021_paper.pdf) [[code]](https://github.com/osierboy/GEM-ZSL)

+ "Learning Graph Embeddings for Compositional Zero-shot Learning" [[pdf]](https://arxiv.org/pdf/2102.01987.pdf) [[code]](https://github.com/ExplainableML/czsl) 

#### ICLR 2021

+ Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang. "Isometric Propagation Network for Generalized Zero-Shot Learning." [[pdf]](https://openreview.net/pdf?id=-mWcQVLPSPy)

#### ECCV 2020 

+ **TF-vaegan**: Sanath Narayan^\* , Akshita Gupta^\* , Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao. "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification." ECCV (2020). [[pdf]](https://arxiv.org/pdf/2003.07833.pdf) [[code]](https://github.com/akshitac8/tfvaegan).

+ **LsrGAN**: Maunil R Vyas, Hemanth Venkateswara, and Sethuraman Panchanathan. "Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning." ECCV (2020). [[pdf]](https://arxiv.org/pdf/2007.09549.pdf). 

+ Xingyu Chen, Xuguang Lan, Fuchun Sun, and Nanning Zheng. "A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning." ECCV (2020). [[pdf]](https://arxiv.org/pdf/2008.04872.pdf).

+ "Region Graph Embedding Network for Zero-Shot Learning. " ECCV SPOTLIGHT(2020). [[pdf]](). 

#### ICLR 2020

+ Tristan Sylvain, Linda Petrini, Devon Hjelm. "Locality and Compositionality in Zero-Shot Learning." ICLR (2020). [[pdf]](https://openreview.net/pdf?id=Hye_V0NKwr).

#### NeurIPS 2019

+ **VSC:** Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao. "Transductive Zero-Shot Learning with Visual Structure Constraint." NeurIPS (2019). [[pdf]](http://papers.nips.cc/paper/9188-transductive-zero-shot-learning-with-visual-structure-constraint.pdf) [[code]](https://github.com/raywzy/VSC).

+ Hyeonwoo Yu, Beomhee Lee. "Zero-shot Learning via Simultaneous Generating and Learning." NeurIPS (2019). [[pdf]](http://papers.nips.cc/paper/8300-zero-shot-learning-via-simultaneous-generating-and-learning.pdf).

+ Jian Ni, Shanghang Zhang, Haiyong Xie. "Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning." NeurIPS (2019). [[pdf]](http://papers.nips.cc/paper/8846-dual-adversarial-semantics-consistent-network-for-generalized-zero-shot-learning.pdf).

+ **SGMA:** Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal. NeurIPS (2019). [[pdf]](http://papers.nips.cc/paper/9632-semantic-guided-multi-attention-localization-for-zero-shot-learning.pdf)

#### ICCV 2019

+ **CIZSL:** Mohamed Elhoseiny, Mohamed Elfeki. "Creativity Inspired Zero-Shot Learning." ICCV (2019). [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Elhoseiny_Creativity_Inspired_Zero-Shot_Learning_ICCV_2019_paper.pdf) [[code]](https://github.com/mhelhoseiny/CIZSL)

+ **LFGAA+SA:** Yang Liu, Jishun Guo, Deng Cai, Xiaofei He. "Attribute Attention for Semantic Disambiguation in Zero-Shot Learning." ICCV (2019). [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Liu_Attribute_Attention_for_Semantic_Disambiguation_in_Zero-Shot_Learning_ICCV_2019_paper.pdf) [[code]](https://github.com/ZJULearning/AttentionZSL)

+ **TCN:** Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen. "Transferable Contrastive Network for Generalized Zero-Shot Learning." ICCV (2019). [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Jiang_Transferable_Contrastive_Network_for_Generalized_Zero-Shot_Learning_ICCV_2019_paper.pdf)

+ **GXE:** Kai Li, Martin Renqiang Min, Yun Fu. "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective." ICCV (2019). [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Rethinking_Zero-Shot_Learning_A_Conditional_Visual_Classification_Perspective_ICCV_2019_paper.pdf)

+ Yizhe Zhu1, Jianwen Xie, Bingchen Liu, Ahmed Elgammal. "Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning." ICCV (2019). [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Zhu_Learning_Feature-to-Feature_Translator_by_Alternating_Back-Propagation_for_Generative_Zero-Shot_Learning_ICCV_2019_paper.pdf) [[code]](https://github.com/EthanZhu90/ZSL_ABP)

+ Yannick Le Cacheux, Herve Le Borgne, Michel Crucianu "Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning." ICCV (2019). [[pdf]](http://openaccess.thecvf.com/content_ICCV_2019/papers/Le_Cacheux_Modeling_Inter_and_Intra-Class_Relations_in_the_Triplet_Loss_for_ICCV_2019_paper.pdf)

#### CVPR 2019

+ **CADA-VAE:** Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata. "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders." CVPR (2019). [[pdf]](https://arxiv.org/abs/1812.01784) [[code]](https://github.com/edgarschnfld/CADA-VAE-PyTorch)

+ **GDAN:** He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang. "Generative Dual Adversarial Network for Generalized Zero-shot Learning." CVPR (2019). [[pdf]](https://arxiv.org/abs/1811.04857) [[code]](https://github.com/stevehuanghe/GDAN)

+ **DeML:** Binghui Chen, Weihong Deng. "Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval." CVPR (2019). [[pdf]](http://www.bhchen.cn/paper/cvpr19.pdf) [[code]](https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning)

+ **Gzsl-VSE:** Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama. "Generalized Zero-Shot Recognition based on Visually Semantic Embedding." CVPR (2019). [[pdf]](https://arxiv.org/pdf/1811.07993.pdf)

+ **LisGAN:** Jingjing Li, Mengmeng Jin, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang. "Leveraging the Invariant Side of Generative Zero-Shot Learning." CVPR (2019). [[pdf]](https://arxiv.org/pdf/1904.04092.pdf) [[code]](https://github.com/lijin118/LisGAN)

+ **DGP:** Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing. "Rethinking Knowledge Graph Propagation for Zero-Shot Learning." CVPR (2019). [[pdf]](https://arxiv.org/pdf/1805.11724.pdf) [[code]](https://github.com/cyvius96/DGP)

+ **DAZL:** Yuval Atzmon, Gal Chechik. "Domain-Aware Generalized Zero-Shot Learning." CVPR (2019). [[pdf]](https://arxiv.org/pdf/1812.09903.pdf)

+ **PrEN:** Meng Ye, Yuhong Guo. "Progressive Ensemble Networks for Zero-Shot Recognition." CVPR (2019). [[pdf]](https://arxiv.org/pdf/1805.07473.pdf)

+ Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi. "On Zero-Shot Learning of generic objects." CVPR (2019). [[pdf]](https://arxiv.org/pdf/1904.04957.pdf) [[code]](https://github.com/TristHas/GOZ)

+ **SABR-T:** Akanksha Paul, Naraynan C Krishnan, Prateek Munjal. "Semantically Aligned Bias Reducing Zero Shot Learning." CVPR (2019). [[pdf]](https://arxiv.org/abs/1904.07659)

+ **AREN:** Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao. "Attentive Region Embedding Network for Zero-shot Learning." CVPR (2019). [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Xie_Attentive_Region_Embedding_Network_for_Zero-Shot_Learning_CVPR_2019_paper.pdf) [[code]](https://github.com/gsx0/Attentive-Region-Embedding-Network-for-Zero-shot-Learning)

+ Zhengming Ding, Hongfu Liu. "Marginalized Latent Semantic Encoder for Zero-Shot Learning." CVPR (2019). [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Ding_Marginalized_Latent_Semantic_Encoder_for_Zero-Shot_Learning_CVPR_2019_paper.pdf)

+ **PQZSL:** Jin Li, Xuguang Lan, Yang Liu, Le Wang, Nanning Zheng. "Compressing Unknown Classes with Product Quantizer for Efficient Zero-Shot Classification." CVPR (2019). [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Li_Compressing_Unknown_Images_With_Product_Quantizer_for_Efficient_Zero-Shot_Classification_CVPR_2019_paper.pdf)

+ Mert Bulent Sariyildiz, Ramazan Gokberk Cinbis. "Gradient Matching Generative Networks for Zero-Shot Learning." CVPR (2019). [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Sariyildiz_Gradient_Matching_Generative_Networks_for_Zero-Shot_Learning_CVPR_2019_paper.pdf)

+ Bin Tong, Chao Wang, Martin Klinkigt, Yoshiyuki Kobayashi, Yuuichi Nonaka. "Hierarchical Disentanglement of Discriminative Latent Features for Zero-shot Learning." CVPR (2019). [[pdf]](http://openaccess.thecvf.com/content_CVPR_2019/papers/Tong_Hierarchical_Disentanglement_of_Discriminative_Latent_Features_for_Zero-Shot_Learning_CVPR_2019_paper.pdf)

#### NeurIPS 2018

+ **DCN:** Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan."Generalized Zero-Shot Learning with Deep Calibration Network" NeurIPS (2018). [[pdf]](http://papers.nips.cc/paper/7471-generalized-zero-shot-learning-with-deep-calibration-network.pdf)

+ **S2GA:** Yunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang, Zhongfei (Mark) Zhang."Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning." NeurIPS (2018). [[pdf]](http://papers.nips.cc/paper/7839-stacked-semantics-guided-attention-model-for-fine-grained-zero-shot-learning.pdf)

+ **DIPL:** An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen "Domain-Invariant Projection Learning for Zero-Shot Recognition." NeurIPS (2018). [[pdf]](http://papers.nips.cc/paper/7380-domain-invariant-projection-learning-for-zero-shot-recognition.pdf)

#### ECCV 2018

+ **SZSL:** Jie Song, Chengchao Shen, Jie Lei, An-Xiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song. "Selective Zero-Shot Classification with Augmented Attributes." ECCV (2018). [[pdf](http://openaccess.thecvf.com/content_ECCV_2018/papers/Jie_Song_Selective_Zero-Shot_Classification_ECCV_2018_paper.pdf)]

+ **LCP-SA:** Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen. "Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition." ECCV (2018). [[pdf](http://openaccess.thecvf.com/content_ECCV_2018/papers/Huajie_Jiang_Learning_Class_Prototypes_ECCV_2018_paper.pdf)]

+ **MC-ZSL:** Rafael Felix, Vijay Kumar B. G., Ian Reid, Gustavo Carneiro. "Multi-modal Cycle-consistent Generalized Zero-Shot Learning." ECCV (2018). [[pdf](http://openaccess.thecvf.com/content_ECCV_2018/papers/RAFAEL_FELIX_Multi-modal_Cycle-consistent_Generalized_ECCV_2018_paper.pdf)] [[code]](https://github.com/rfelixmg/frwgan-eccv18)

#### CVPR 2018

+ **GCN:**  Xiaolong Wang, Yufei Ye, Abhinav Gupta. "Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs." CVPR (2018). [[pdf](https://arxiv.org/pdf/1803.08035.pdf)] [[code](https://github.com/JudyYe/zero-shot-gcn)]

+ **PSR:** Yashas Annadani, Soma Biswas. "Preserving Semantic Relations for Zero-Shot Learning." CVPR (2018). [[pdf](https://arxiv.org/pdf/1803.03049.pdf)]

+ **GAN-NT:** Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal. "A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts." CVPR (2018). [[pdf](http://openaccess.thecvf.com/content_cvpr_2018/papers/Zhu_A_Generative_Adversarial_CVPR_2018_paper.pdf)]

+ **TUE:** Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song. "Transductive Unbiased Embedding for Zero-Shot Learning." CVPR (2018). [[pdf](http://openaccess.thecvf.com/content_cvpr_2018/papers/Song_Transductive_Unbiased_Embedding_CVPR_2018_paper.pdf)]

+ **SP-AEN:** Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih-Fu Chang. "Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks." CVPR (2018). [[pdf](http://openaccess.thecvf.com/content_cvpr_2018/papers/Chen_Zero-Shot_Visual_Recognition_CVPR_2018_paper.pdf)] [[code](https://github.com/zjuchenlong/sp-aen.cvpr18)]

+ **ML-SKG:** Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang. "Multi-Label Zero-Shot Learning With Structured Knowledge Graphs." CVPR (2018). [[pdf](http://openaccess.thecvf.com/content_cvpr_2018/papers/Lee_Multi-Label_Zero-Shot_Learning_CVPR_2018_paper.pdf)] [[project](https://people.csail.mit.edu/weifang/project/vll18-mlzsl/)]

+ **GZSL-SE:** Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai. "Generalized Zero-Shot Learning via Synthesized Examples." CVPR (2018). [[pdf](http://openaccess.thecvf.com/content_cvpr_2018/papers/Verma_Generalized_Zero-Shot_Learning_CVPR_2018_paper.pdf)]

+ **FGN:** Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata. "Feature Generating Networks for Zero-Shot Learning." CVPR (2018). [[pdf](http://openaccess.thecvf.com/content_cvpr_2018/papers/Xian_Feature_Generating_Networks_CVPR_2018_paper.pdf)] [[code](http://datasets.d2.mpi-inf.mpg.de/xian/cvpr18xian.zip)] [[project](https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/zero-shot-learning/feature-generating-networks-for-zero-shot-learning/)]

+ **LDF:** Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang. "Discriminative Learning of Latent Features for Zero-Shot Recognition." CVPR (2018). [[pdf]](http://openaccess.thecvf.com/content_cvpr_2018/papers/Li_Discriminative_Learning_of_CVPR_2018_paper.pdf) 

+ **WSL:** Li Niu, Ashok Veeraraghavan, and Ashu Sabharwal. "Webly Supervised Learning Meets Zero-shot Learning: A Hybrid Approach for Fine-grained Classification." CVPR (2018). [[pdf]](http://openaccess.thecvf.com/content_cvpr_2018/papers/Niu_Webly_Supervised_Learning_CVPR_2018_paper.pdf)

#### TPAMI 2018

+ **C-GUB:** Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata. "Zero-shot learning-A comprehensive evaluation of the good, the bad and the ugly." TPAMI (2018). [[pdf](https://arxiv.org/pdf/1707.00600.pdf)] [[project](https://www.mpi-inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/zero-shot-learning/zero-shot-learning-the-good-the-bad-and-the-ugly/)]

#### AAAI 2018, 2017

+ **GANZrl:** Bin Tong, Martin Klinkigt, Junwen Chen, Xiankun Cui, Quan Kong, Tomokazu Murakami, Yoshiyuki Kobayashi. "Adversarial Zero-shot Learning With Semantic Augmentation." AAAI (2018). [[pdf]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16805/15965)

+ **JDZsL:** Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim. "Joint Dictionaries for Zero-Shot Learning." AAAI (2018). [[pdf]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16404/16723)

+ **VZSL:** Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin. "Zero-Shot Learning via Class-Conditioned Deep Generative Models." AAAI (2018). [[pdf]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16087/16709)

+ **AS:** Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang. "Zero-Shot Learning With Attribute Selection." AAAI (2018). [[pdf]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16350/16272)

+ **DSSC:** Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan."Deep Semantic Structural Constraints for Zero-Shot Learning." AAAI (2018). [[pdf]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16309/16294)

+ **ZsRDA:** Yang Long, Li Liu, Yuming Shen, Ling Shao. "Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes." AAAI (2018). [[pdf]](https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16626/16314)

+ **DCL:** Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao. "Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels." AAAI (2017). [[pdf]](https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14160/14281)

#### ICCV 2017

+ **A2C:** Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis. "Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning." ICCV (2017). [[pdf](http://openaccess.thecvf.com/content_ICCV_2017/papers/Demirel_Attributes2Classname_A_Discriminative_ICCV_2017_paper.pdf)] [[code]](https://github.com/berkandemirel/attributes2classname)

+ **PVE:** Soravit Changpinyo, Wei-Lun Chao, Fei Sha. "Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning." ICCV (2017). [[pdf](http://openaccess.thecvf.com/content_ICCV_2017/papers/Changpinyo_Predicting_Visual_Exemplars_ICCV_2017_paper.pdf)][[code](https://github.com/pujols/Zero-shot-learning-journal)]

+ **LDL:** Huajie Jiang, Ruiping Wang, Shiguang Shan, Yi Yang, Xilin Chen. "Learning Discriminative Latent Attributes for Zero-Shot Classification." ICCV (2017). [[pdf]](http://openaccess.thecvf.com/content_ICCV_2017/papers/Jiang_Learning_Discriminative_Latent_ICCV_2017_paper.pdf)]

#### CVPR 2017

+ **Deep-SCoRe:** Pedro Morgado, Nuno Vasconcelos."Semantically Consistent Regularization for Zero-Shot Recognition." CVPR (2017). [[pdf](http://www.svcl.ucsd.edu/~morgado/score/score-cvpr17.pdf)] [[code](https://github.com/pedro-morgado/score-zeroshot)]

+ **DEM:** Li Zhang, Tao Xiang, Shaogang Gong. "Learning a Deep Embedding Model for Zero-Shot Learning." CVPR (2017). [[pdf](https://arxiv.org/pdf/1611.05088.pdf)] [[code](https://github.com/lzrobots/DeepEmbeddingModel_ZSL)]

+ **VDS:** Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han. "From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis." CVPR (2017). [[pdf](http://openaccess.thecvf.com/content_cvpr_2017/html/Long_From_Zero-Shot_Learning_CVPR_2017_paper.html)]

+ **ESD:** Zhengming Ding, Ming Shao, Yun Fu. "Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning." CVPR (2017). [[pdf](http://openaccess.thecvf.com/content_cvpr_2017/papers/Ding_Low-Rank_Embedded_Ensemble_CVPR_2017_paper.pdf)]

+ **SAE:** Elyor Kodirov, Tao Xiang, Shaogang Gong. "Semantic Autoencoder for Zero-Shot Learning." CVPR (2017). [[pdf]](http://openaccess.thecvf.com/content_cvpr_2017/papers/Kodirov_Semantic_Autoencoder_for_CVPR_2017_paper.pdf) [[code](https://github.com/Elyorcv/SAE)]

+ **DVSM:** Yanan Li, Donghui Wang, Huanhang Hu, Yuetan Lin, Yueting Zhuang. "Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths". CVPR (2017). [[pdf](http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Zero-Shot_Recognition_Using_CVPR_2017_paper.pdf)]

+ **MTF-MR:** Xing Xu, Fumin Shen, Yang Yang, Dongxiang Zhang, Heng Tao Shen, Jingkuan Song. "Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning." CVPR (2017). [[pdf](http://openaccess.thecvf.com/content_cvpr_2017/papers/Xu_Matrix_Tri-Factorization_With_CVPR_2017_paper.pdf)]

+ Nour Karessli, Zeynep Akata, Bernt Schiele, Andreas Bulling. "Gaze Embeddings for Zero-Shot Image Classification." CVPR (2017). [[pdf]](https://arxiv.org/pdf/1611.09309.pdf) [[code]](https://github.com/Noura-kr/CVPR17)

+ **GUB:** Yongqin Xian, Bernt Schiele, Zeynep Akata. "Zero-Shot learning - The Good, the Bad and the Ugly." CVPR (2017). 

[[pdf]](http://openaccess.thecvf.com/content_cvpr_2017/papers/Xian_Zero-Shot_Learning_-_CVPR_2017_paper.pdf) [[code]](https://github.com/pedro-morgado/score-zeroshot)

#### CVPR 2016

+ **MC-ZSL:** Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele. "Multi-Cue Zero-Shot Learning With Strong Supervision." CVPR (2016). [[pdf](http://openaccess.thecvf.com/content_cvpr_2016/papers/Akata_Multi-Cue_Zero-Shot_Learning_CVPR_2016_paper.pdf)] [[code]](https://www.mpi-inf.mpg.de/index.php?id=2935)

+ **LATEM:** Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele. "Latent Embeddings for Zero-Shot Classification." CVPR (2016). [[pdf](http://openaccess.thecvf.com/content_cvpr_2016/papers/Xian_Latent_Embeddings_for_CVPR_2016_paper.pdf)][[code](http://datasets.d2.mpi-inf.mpg.de/yxian16cvpr/latEm.zip)]

+ **LIM:** Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel. "Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression." CVPR (2016). [[pdf](http://openaccess.thecvf.com/content_cvpr_2016/papers/Qiao_Less_Is_More_CVPR_2016_paper.pdf)]

+ **SYNC:** Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha. "Synthesized Classifiers for Zero-Shot Learning." CVPR (2016). [[pdf](http://openaccess.thecvf.com/content_cvpr_2016/papers/Changpinyo_Synthesized_Classifiers_for_CVPR_2016_paper.pdf)][[code](https://github.com/pujols/zero-shot-learning)]

+ **RML:** Ziad Al-Halah, Makarand Tapaswi, Rainer Stiefelhagen. "Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning." CVPR (2016). [[pdf](http://openaccess.thecvf.com/content_cvpr_2016/papers/Al-Halah_Recovering_the_Missing_CVPR_2016_paper.pdf)]

+ **SLE:** Ziming Zhang, Venkatesh Saligrama. "Zero-Shot Learning via Joint Latent Similarity Embedding." CVPR (2016). [[pdf](http://openaccess.thecvf.com/content_cvpr_2016/papers/Zhang_Zero-Shot_Learning_via_CVPR_2016_paper.pdf)] [[code](https://drive.google.com/file/d/1RimUgUlf2tfpntzlxdlYaAvm34HX0fUb/view?usp=sharing)]

#### ECCV 2016

+ Wei-Lun Chao, Soravit Changpinyo, Boqing Gong2, Fei Sha. "An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild." ECCV (2016). [[pdf]](https://arxiv.org/pdf/1605.04253.pdf)

+ **MTE:** Xun Xu, Timothy M. Hospedales, Shaogang Gong. "Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation." ECCV (2016). [[pdf]](https://arxiv.org/pdf/1611.08663.pdf)

+ Ziming Zhang, Venkatesh Saligrama."Zero-Shot Recognition via Structured Prediction." ECCV (2016). [[pdf]](https://pdfs.semanticscholar.org/be96/1637db8561b027fd48788c64e7919c7cd760.pdf)

+ Maxime Bucher, Stephane Herbin, Frederic Jurie."Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification." ECCV (2016). [[pdf]](https://arxiv.org/pdf/1607.08085.pdf)

#### AAAI 2016

+ **RKT:** Donghui Wang, Yanan Li, Yuetan Lin, Yueting Zhuang. "Relational Knowledge Transfer for Zero-Shot Learning." AAAI (2016). [[pdf]](https://www.aaai.org/ocs/index.php/AAAI/AAAI16/paper/view/11802/11854)

#### TPAMI 2016, 2015, 2013

+ **ALE:** Zeynep Akata, Florent Perronnin, Zaid Harchaoui, and Cordelia Schmid. "Label-Embedding for Image Classification." TPAMI (2016). [[pdf]](https://arxiv.org/pdf/1503.08677.pdf)

+ **TMV:** Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong. "Transductive Multi-view Zero-Shot Learning." TPAMI (2015) [[pdf]](https://arxiv.org/pdf/1501.04560.pdf) [[code]](https://github.com/yanweifu/embedding_zero-shot-learning)

+ **DAP:** Christoph H. Lampert, Hannes Nickisch and Stefan Harmeling. "Attribute-Based Classification for Zero-Shot

Visual Object Categorization." TPAMI (2013) [[pdf]](http://pub.ist.ac.at/~chl/papers/lampert-pami2013.pdf)

#### CVPR 2015

+ **SJE:** Zeynep Akata, Scott Reed, Daniel Walter, Honglak Lee, Bernt Schiele. "Evaluation of Output Embeddings for Fine-Grained Image Classification." CVPR (2015). [[pdf]](https://www.mpi-inf.mpg.de/fileadmin/inf/d2/akata/1690.pdf) [[code]](https://www.mpi-inf.mpg.de/index.php?id=2325) 

+ Zhenyong Fu, Tao Xiang, Elyor Kodirov, Shaogang Gong. "Zero-Shot Object Recognition by Semantic Manifold Distance." CVPR (2015). [[pdf]](https://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf)

#### ICCV 2015

+ **SSE:** Ziming Zhang, Venkatesh Saligrama. "Zero-Shot Learning via Semantic Similarity Embedding." ICCV (2015). [[pdf]](https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Zhang_Zero-Shot_Learning_via_ICCV_2015_paper.pdf) [[code]](https://zimingzhang.wordpress.com/source-code/)

+ **LRL:** Xin Li, Yuhong Guo, Dale Schuurmans."Semi-Supervised Zero-Shot Classification with Label Representation Learning." ICCV (2015). [[pdf]](https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Li_Semi-Supervised_Zero-Shot_Classification_ICCV_2015_paper.pdf)

+ **UDA:** Elyor Kodirov, Tao Xiang, Zhenyong Fu, Shaogang Gong. "Unsupervised Domain Adaptation for Zero-Shot Learning." ICCV (2015). [[pdf]](https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Kodirov_Unsupervised_Domain_Adaptation_ICCV_2015_paper.pdf)

+ Jimmy Lei Ba, Kevin Swersky, Sanja Fidler, Ruslan Salakhutdinov. "Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions." ICCV (2015). [[pdf]](https://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Ba_Predicting_Deep_Zero-Shot_ICCV_2015_paper.pdf)

#### NIPS 2014, 2013, 2009

+ Dinesh Jayram, Kristen Grauman."Zero-Shot Recognition with Unreliable Attributes" NIPS (2014) [[pdf]](https://papers.nips.cc/paper/5290-zero-shot-recognition-with-unreliable-attributes.pdf)

+ **CMT:** Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Y. Ng. "Zero-Shot Learning Through Cross-Modal Transfer" NIPS (2013) [[pdf]](https://papers.nips.cc/paper/5027-zero-shot-learning-through-cross-modal-transfer.pdf)  [[code]](https://github.com/mganjoo/zslearning)

+ **DeViSE:** Andrea Frome, Greg S. Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc’Aurelio Ranzato, Tomas Mikolov."DeViSE: A Deep Visual-Semantic Embedding Model" NIPS (2013) [[pdf]](https://papers.nips.cc/paper/5204-devise-a-deep-visual-semantic-embedding-model.pdf)

+ Mark Palatucci, Dean Pomerleau, Geoffrey Hinton, Tom M. Mitchell. "Zero-Shot Learning with Semantic Output Codes" NIPS (2009) [[pdf]](https://papers.nips.cc/paper/3650-zero-shot-learning-with-semantic-output-codes.pdf)

#### ECCV 2014

+ **TMV-BLP:** Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Zhenyong Fu, Shaogang Gong. "Transductive Multi-view Embedding for

Zero-Shot Recognition and Annotation" ECCV (2014).[[pdf]](https://www.eecs.qmul.ac.uk/~txiang/publications/Fu_et_al_embedding_eccv2014.pdf) [[code]](https://github.com/yanweifu/embedding_zero-shot-learning)

+ Stanislaw Antol, Larry Zitnick, Devi Parikh. "Zero-Shot Learning via Visual Abstraction." ECCV (2014). [[pdf]](https://computing.ece.vt.edu/~santol/projects/zsl_via_visual_abstraction/eccv2014_zsl_via_visual_abstraction.pdf) [[code]](https://github.com/StanislawAntol/zsl_via_visual_abstraction) [[project]](https://computing.ece.vt.edu/~santol/projects/zsl_via_visual_abstraction/)

#### CVPR 2013

+ **ALE:** Z.Akata, F. Perronnin, Z. Harchaoui, and C. Schmid. "Label Embedding for Attribute-Based Classification." CVPR (2013). [[pdf]](https://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Akata_Label-Embedding_for_Attribute-Based_2013_CVPR_paper.pdf)

#### Other Papers

+ **EsZSL:** Bernardino Romera-Paredes, Philip H. S. Torr. "An embarrassingly simple approach to zero-shot learning." ICML (2015). [[pdf]](http://proceedings.mlr.press/v37/romera-paredes15.pdf) [[Code]](https://github.com/MLWave/extremely-simple-one-shot-learning)

+ **AEZSL:** "Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement" IEEE SPS (2018). [[pdf]](https://ieeexplore.ieee.org/document/8476580)

+ **ZSGD:** Tiancheng Zhao, Maxine Eskenazi. "Zero-Shot Dialog Generation with Cross-Domain Latent Actions" SIGDIAL (2018). [[pdf]](https://arxiv.org/abs/1805.04803v1) [[code]](https://github.com/snakeztc/NeuralDialog-ZSDG)

+ Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong "Recent Advances in Zero-shot Recognition".  IEEE Signal Processing Magazine. [[pdf]](https://arxiv.org/pdf/1710.04837.pdf)

+ Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing "Rethinking Knowledge Graph Propagation for Zero-Shot Learning" arXiv (2018). [[pdf]](https://arxiv.org/pdf/1805.11724v2.pdf) [[code]](https://github.com/cyvius96/adgpm)

+ **Survey:** Wei Wang, Vincent W. Zheng, Han Yu, Chunyan Miao. "A Survey of Zero-Shot Learning: Settings, Methods, and Applications". TIST (2019).  [[pdf]](https://dl.acm.org/citation.cfm?doid=3306498.3293318)

### Datasets

+ **LAD:** Large-scale Attribute Dataset. Categories:230. [[link]](https://github.com/PatrickZH/A-Large-scale-Attribute-Dataset-for-Zero-shot-Learning)

+ **CUB:** Caltech-UCSD Birds. Categories:200. [[link]](http://www.vision.caltech.edu/visipedia/CUB-200-2011.html)

+ **AWA2:** Animals with Attributes. Categories:50. [[link]](https://cvml.ist.ac.at/AwA2/)

+ **aPY:** attributes Pascal and Yahoo. Categories:32 [[link]](http://vision.cs.uiuc.edu/attributes/)

+ **Flowers Dataset:** There are two datasets, Categories: 17 and 102. [[link]](http://www.robots.ox.ac.uk/~vgg/data/flowers/)

+ **SUN:** Scene Attributes. Categories:717. [[link]](http://cs.brown.edu/~gmpatter/sunattributes.html)

+ **HMDB51** : a large human motion database. Categories:51 [[link]](https://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/#Downloads)

+ **UCF101** :  an action image recognition dataset of real action videos, collected from YouTube. Categories:101 [[link]](https://www.crcv.ucf.edu/data/UCF101.php)

### Starter Code

This repository contains a `Demo` folder which has a Jupyter Notebook step-by-step code to "An embarrassingly simple approach to zero-shot learning." ICML (2015).

This can be used as an introductory code to obtain the basic understanding of Zero-shot Learning.

## Other resources

+ https://medium.com/@alitech_2017/from-zero-to-hero-shaking-up-the-field-of-zero-shot-learning-c43208f71332

+ https://www.analyticsindiamag.com/what-is-zero-shot-learning/

+ https://medium.com/@cetinsamet/zero-shot-learning-53080995d45f

+ https://amitness.com/2020/05/zero-shot-text-classification/

## License

[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)