Zero-Shot Learning

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 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.

Papers
Datasets
Starter code for ZSL
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]
Zongyan Han, Zhenyong Fu, Shuo Chen and Jian Yang "Contrastive Embedding for Generalized Zero-Shot Learning" [pdf] [code]
Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada. "Goal-Oriented Gaze Estimation for Zero-Shot Learning" [pdf] [code]
"Learning Graph Embeddings for Compositional Zero-shot Learning" [pdf] [code]

ICLR 2021

Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang. "Isometric Propagation Network for Generalized Zero-Shot Learning." [pdf]

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] [code].
LsrGAN: Maunil R Vyas, Hemanth Venkateswara, and Sethuraman Panchanathan. "Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning." ECCV (2020). [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].
"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].

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] [code].
Hyeonwoo Yu, Beomhee Lee. "Zero-shot Learning via Simultaneous Generating and Learning." NeurIPS (2019). [pdf].
Jian Ni, Shanghang Zhang, Haiyong Xie. "Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning." NeurIPS (2019). [pdf].
SGMA: Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal. NeurIPS (2019). [pdf]

ICCV 2019

CIZSL: Mohamed Elhoseiny, Mohamed Elfeki. "Creativity Inspired Zero-Shot Learning." ICCV (2019). [pdf] [code]
LFGAA+SA: Yang Liu, Jishun Guo, Deng Cai, Xiaofei He. "Attribute Attention for Semantic Disambiguation in Zero-Shot Learning." ICCV (2019). [pdf] [code]
TCN: Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen. "Transferable Contrastive Network for Generalized Zero-Shot Learning." ICCV (2019). [pdf]
GXE: Kai Li, Martin Renqiang Min, Yun Fu. "Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective." ICCV (2019). [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] [code]
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]

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] [code]
GDAN: He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang. "Generative Dual Adversarial Network for Generalized Zero-shot Learning." CVPR (2019). [pdf] [code]
DeML: Binghui Chen, Weihong Deng. "Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval." CVPR (2019). [pdf] [code]
Gzsl-VSE: Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama. "Generalized Zero-Shot Recognition based on Visually Semantic Embedding." CVPR (2019). [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] [code]
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] [code]
DAZL: Yuval Atzmon, Gal Chechik. "Domain-Aware Generalized Zero-Shot Learning." CVPR (2019). [pdf]
PrEN: Meng Ye, Yuhong Guo. "Progressive Ensemble Networks for Zero-Shot Recognition." CVPR (2019). [pdf]
Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi. "On Zero-Shot Learning of generic objects." CVPR (2019). [pdf] [code]
SABR-T: Akanksha Paul, Naraynan C Krishnan, Prateek Munjal. "Semantically Aligned Bias Reducing Zero Shot Learning." CVPR (2019). [pdf]
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] [code]
Zhengming Ding, Hongfu Liu. "Marginalized Latent Semantic Encoder for Zero-Shot Learning." CVPR (2019). [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]
Mert Bulent Sariyildiz, Ramazan Gokberk Cinbis. "Gradient Matching Generative Networks for Zero-Shot Learning." CVPR (2019). [pdf]
Bin Tong, Chao Wang, Martin Klinkigt, Yoshiyuki Kobayashi, Yuuichi Nonaka. "Hierarchical Disentanglement of Discriminative Latent Features for Zero-shot Learning." CVPR (2019). [pdf]

NeurIPS 2018

DCN: Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan."Generalized Zero-Shot Learning with Deep Calibration Network" NeurIPS (2018). [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]
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]

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]
LCP-SA: Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen. "Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition." ECCV (2018). [pdf]
MC-ZSL: Rafael Felix, Vijay Kumar B. G., Ian Reid, Gustavo Carneiro. "Multi-modal Cycle-consistent Generalized Zero-Shot Learning." ECCV (2018). [pdf] [code]

CVPR 2018

GCN: Xiaolong Wang, Yufei Ye, Abhinav Gupta. "Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs." CVPR (2018). [pdf] [code]
PSR: Yashas Annadani, Soma Biswas. "Preserving Semantic Relations for Zero-Shot Learning." CVPR (2018). [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]
TUE: Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song. "Transductive Unbiased Embedding for Zero-Shot Learning." CVPR (2018). [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] [code]
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] [project]
GZSL-SE: Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai. "Generalized Zero-Shot Learning via Synthesized Examples." CVPR (2018). [pdf]
FGN: Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata. "Feature Generating Networks for Zero-Shot Learning." CVPR (2018). [pdf] [code] [project]
LDF: Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang. "Discriminative Learning of Latent Features for Zero-Shot Recognition." CVPR (2018). [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]

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] [project]

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]
JDZsL: Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim. "Joint Dictionaries for Zero-Shot Learning." AAAI (2018). [pdf]
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]
AS: Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang. "Zero-Shot Learning With Attribute Selection." AAAI (2018). [pdf]
DSSC: Yan Li, Zhen Jia, Junge Zhang, Kaiqi Huang, Tieniu Tan."Deep Semantic Structural Constraints for Zero-Shot Learning." AAAI (2018). [pdf]
ZsRDA: Yang Long, Li Liu, Yuming Shen, Ling Shao. "Towards Affordable Semantic Searching: Zero-Shot Retrieval via Dominant Attributes." AAAI (2018). [pdf]
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]

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] [code]
PVE: Soravit Changpinyo, Wei-Lun Chao, Fei Sha. "Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning." ICCV (2017). [pdf][code]
LDL: Huajie Jiang, Ruiping Wang, Shiguang Shan, Yi Yang, Xilin Chen. "Learning Discriminative Latent Attributes for Zero-Shot Classification." ICCV (2017). [pdf]]

CVPR 2017

Deep-SCoRe: Pedro Morgado, Nuno Vasconcelos."Semantically Consistent Regularization for Zero-Shot Recognition." CVPR (2017). [pdf] [code]
DEM: Li Zhang, Tao Xiang, Shaogang Gong. "Learning a Deep Embedding Model for Zero-Shot Learning." CVPR (2017). [pdf] [code]
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]
ESD: Zhengming Ding, Ming Shao, Yun Fu. "Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning." CVPR (2017). [pdf]
SAE: Elyor Kodirov, Tao Xiang, Shaogang Gong. "Semantic Autoencoder for Zero-Shot Learning." CVPR (2017). [pdf] [code]
DVSM: Yanan Li, Donghui Wang, Huanhang Hu, Yuetan Lin, Yueting Zhuang. "Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths". CVPR (2017). [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]
Nour Karessli, Zeynep Akata, Bernt Schiele, Andreas Bulling. "Gaze Embeddings for Zero-Shot Image Classification." CVPR (2017). [pdf] [code]
GUB: Yongqin Xian, Bernt Schiele, Zeynep Akata. "Zero-Shot learning - The Good, the Bad and the Ugly." CVPR (2017). [pdf] [code]

CVPR 2016

MC-ZSL: Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele. "Multi-Cue Zero-Shot Learning With Strong Supervision." CVPR (2016). [pdf] [code]
LATEM: Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele. "Latent Embeddings for Zero-Shot Classification." CVPR (2016). [pdf][code]
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]
SYNC: Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha. "Synthesized Classifiers for Zero-Shot Learning." CVPR (2016). [pdf][code]
RML: Ziad Al-Halah, Makarand Tapaswi, Rainer Stiefelhagen. "Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning." CVPR (2016). [pdf]
SLE: Ziming Zhang, Venkatesh Saligrama. "Zero-Shot Learning via Joint Latent Similarity Embedding." CVPR (2016). [pdf] [code]

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]
MTE: Xun Xu, Timothy M. Hospedales, Shaogang Gong. "Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation." ECCV (2016). [pdf]
Ziming Zhang, Venkatesh Saligrama."Zero-Shot Recognition via Structured Prediction." ECCV (2016). [pdf]
Maxime Bucher, Stephane Herbin, Frederic Jurie."Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification." ECCV (2016). [pdf]

AAAI 2016

RKT: Donghui Wang, Yanan Li, Yuetan Lin, Yueting Zhuang. "Relational Knowledge Transfer for Zero-Shot Learning." AAAI (2016). [pdf]

TPAMI 2016, 2015, 2013

ALE: Zeynep Akata, Florent Perronnin, Zaid Harchaoui, and Cordelia Schmid. "Label-Embedding for Image Classification." TPAMI (2016). [pdf]
TMV: Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Shaogang Gong. "Transductive Multi-view Zero-Shot Learning." TPAMI (2015) [pdf] [code]
DAP: Christoph H. Lampert, Hannes Nickisch and Stefan Harmeling. "Attribute-Based Classification for Zero-Shot Visual Object Categorization." TPAMI (2013) [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] [code]
Zhenyong Fu, Tao Xiang, Elyor Kodirov, Shaogang Gong. "Zero-Shot Object Recognition by Semantic Manifold Distance." CVPR (2015). [pdf]

ICCV 2015

SSE: Ziming Zhang, Venkatesh Saligrama. "Zero-Shot Learning via Semantic Similarity Embedding." ICCV (2015). [pdf] [code]
LRL: Xin Li, Yuhong Guo, Dale Schuurmans."Semi-Supervised Zero-Shot Classification with Label Representation Learning." ICCV (2015). [pdf]
UDA: Elyor Kodirov, Tao Xiang, Zhenyong Fu, Shaogang Gong. "Unsupervised Domain Adaptation for Zero-Shot Learning." ICCV (2015). [pdf]
Jimmy Lei Ba, Kevin Swersky, Sanja Fidler, Ruslan Salakhutdinov. "Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions." ICCV (2015). [pdf]

NIPS 2014, 2013, 2009

Dinesh Jayram, Kristen Grauman."Zero-Shot Recognition with Unreliable Attributes" NIPS (2014) [pdf]
CMT: Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Y. Ng. "Zero-Shot Learning Through Cross-Modal Transfer" NIPS (2013) [pdf] [code]
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]
Mark Palatucci, Dean Pomerleau, Geoffrey Hinton, Tom M. Mitchell. "Zero-Shot Learning with Semantic Output Codes" NIPS (2009) [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] [code]
Stanislaw Antol, Larry Zitnick, Devi Parikh. "Zero-Shot Learning via Visual Abstraction." ECCV (2014). [pdf] [code] [project]

CVPR 2013

ALE: Z.Akata, F. Perronnin, Z. Harchaoui, and C. Schmid. "Label Embedding for Attribute-Based Classification." CVPR (2013). [pdf]

Other Papers

EsZSL: Bernardino Romera-Paredes, Philip H. S. Torr. "An embarrassingly simple approach to zero-shot learning." ICML (2015). [pdf] [Code]
AEZSL: "Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement" IEEE SPS (2018). [pdf]
ZSGD: Tiancheng Zhao, Maxine Eskenazi. "Zero-Shot Dialog Generation with Cross-Domain Latent Actions" SIGDIAL (2018). [pdf] [code]
Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, Shaogang Gong "Recent Advances in Zero-shot Recognition". IEEE Signal Processing Magazine. [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] [code]
Survey: Wei Wang, Vincent W. Zheng, Han Yu, Chunyan Miao. "A Survey of Zero-Shot Learning: Settings, Methods, and Applications". TIST (2019). [pdf]

Datasets

LAD: Large-scale Attribute Dataset. Categories:230. [link]
CUB: Caltech-UCSD Birds. Categories:200. [link]
AWA2: Animals with Attributes. Categories:50. [link]
aPY: attributes Pascal and Yahoo. Categories:32 [link]
Flowers Dataset: There are two datasets, Categories: 17 and 102. [link]
SUN: Scene Attributes. Categories:717. [link]
HMDB51 : a large human motion database. Categories:51 [link]
UCF101 : an action image recognition dataset of real action videos, collected from YouTube. Categories:101 [link]

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.

sbharadwajj / awesome-zero-shot-learning

readme