A collection of resources on Zero-Shot Learning.
Zero-Shot Learning targets to recognize samples from either seen or unseen classes, which can be applied to image classification, object detection, and semantic segmentation. This is a collection of papers and resources I curated when learning the ropes in Zero-Shot Learning. I will be continuously updating this list with the latest papers and resources. If you want to learn the basics of Zero-Shot Learning and understand how the field has evolved, check out these articles I published on ...
If you think I have missed out on something (or) have any suggestions (papers, implementations and other resources), feel free to pull a request
Feedback and contributions are welcome!
- Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition - [CODE]- D.~Huynh and E.~Elhamifar. (NeurIPS 2020)
- Attribute Prototype Network for Zero-Shot Learning - [CODE]- Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata. (NeurIPS 2020)
- A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning - [CODE]- Xingyu Chen, Xuguang Lan, Fuchun Sun, Nanning Zheng. (ECCV 2020)
- Leveraging Seen and Unseen Semantic Relationships for Generative Zero-shot Learning - Maunil R Vyas, Hemanth Venkateswara, Sethuraman Panchanathan. (ECCV 2020)
- Latent Embedding Feedback and Discriminative Features for Zero-shot Classification - [CODE]- Sanath Narayan, Akshita Gupta, Fahad Shahbaz Khan, Cees G. M. Snoek, Ling Shao. (ECCV 2020)
- Region Graph Embedding Network for Zero-shot Learning - Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao. (ECCV 2020)
- Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning - [CODE]- Shaobo Min, Hantao Yao, Hongtao Xie, Chaoqun Wang, Zheng-Jun Zha, Yongdong Zhang. (CVPR 2020)
- Hyperbolic Visual Embedding Learning for Zero-Shot Recognition - [CODE]- Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang. (CVPR 2020)
- Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention - Dat Huynh, Ehsan Elhamifar. (CVPR 2020)
- A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning - Dat Huynh, Ehsan Elhamifar. (CVPR 2020)
- Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition - [CODE]- Zongyan Han, Zhenyong Fu, Jian Yang. (CVPR 2020)
- Self-supervised Domain-aware Generative Network for Generalized Zero-shot Learning - Jiamin Wu, Tianzhu Zhang, Zheng-Jun Zha, Jiebo Luo, Yongdong Zhang, Feng Wu. (CVPR 2020)
- Episode-based Prototype Generating Network for Zero-Shot Learning - [CODE]- Yunlong Yu, Zhong Ji, Jungong Han, Zhongfei Zhang. (CVPR 2020)
- Generalized Zero-Shot Learning via Over-Complete Distribution - Rohit Keshari, Richa Singh, Mayank Vatsa. (CVPR 2020)
- Hierarchical Disentanglement of Discriminative Latent Features for Zero-shot Learning - Bin Tong, Chao Wang, Martin Klinkigt, Yoshiyuki Kobayashi, Yuuichi Nonaka. (CVPR 2019)
- Semantically Aligned Bias Reducing Zero Shot Learning - Akanksha Paul, Naraynan C Krishnan, Prateek Munjal. (CVPR 2019)
- Generalized Zero-Shot Recognition based on Visually Semantic Embedding - Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama. (CVPR 2019)
- Attentive Region Embedding Network for Zero-shot Learning - Guo-Sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang, Jie Qin, Yazhou Yao, Ling Shao. (CVPR 2019)
- Marginalized Latent Semantic Encoder for Zero-Shot Learning - Zhengming Ding and Hongfu Liu. (CVPR 2019)
- Progressive Ensemble Networks for Zero-Shot Recognition - Meng Ye, Yuhong Guo. (Tranductive Learning) (CVPR 2019)
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning - [CODE] - Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, and Eric P. Xing. (CVPR 2019)
- Generative Dual Adversarial Network for Generalized Zero-shot Learning - [CODE] - He Huang, Changhu Wang, Philip S. Yu Chang-Dong Wang. (CVPR 2019)
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning - [CODE] - Michael Kampffmeyer, Yinbo Chen, Xiaodan Liangy, Hao Wang, Yujia Zhang, and Eric P. Xing. (CVPR 2019)
- Progressive Ensemble Networks for Zero-Shot Recognition - Meng Ye and Yuhong Guo. (CVPR 2019)
- Leveraging the Invariant Side of Generative Zero-Shot Learning - Jingjing Li, Mengmeng Jing, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang. (CVPR 2019)
- Gradient Matching Generative Networks for Zero-Shot Learning - Mert Bulent Sariyildiz and Ramazan Gokberk Cinbis. (CVPR 2019)
- Creativity Inspired Zero-Shot Learning - Mohamed Elhoseiny, Mohamed Elfeki. (ICCV 2019)
- Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning - [CODE] - Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng and Ahmed Elgammal. (ICCV 2019)
- Attribute Attention for Semantic Disambiguation in Zero-Shot Learning - [CODE] - Yang Liu, Jishun Guo, Deng Cai, Xiaofei He. (ICCV 2019)
- DUAL ADVERSARIAL SEMANTICS-CONSISTENT NETWORK FOR GENERALIZED ZERO-SHOT LEARNING - Jian Ni, hanghang Zhang, Haiyong Xie. (NeurIPS 2019)
- Transductive Zero-Shot Learning with Visual Structure Constraint - [CODE]- Ziyu Wan, Dongdong Chen, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao.
- Semantic Projection Network for Zero- and Few-Label Semantic Segmentation - Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, and Zeynep Akata. (CVPR 2019)
- Zero-Shot Semantic Segmentation -- [CODE] Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez. (NeurIPS 19)
- Zero-Shot Object Detection - [Proj] - Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, and Ajay Divakaran. (ECCV 2018)
- Transductive Learning for Zero-Shot Object Detection - Shafin Rahman, Salman Khan and Nick Barnes. (ICCV 2019)
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