Compositional-Zero-Shot-Learning

2025

• HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
  Do Huu Dat; Po-Yuan Mao; Tien Hoang Nguyen; Wray Buntine; Mohammed Bennamoun
  [Paper]

• Unified Framework for Open-World Compositional Zero-shot Learning
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
  Hirunima Jayasekara; Khoi Pham; Nirat Saini; Abhinav Shrivastava
  [Paper] [Code]

• Learning clustering-based prototypes for compositional zero-shot learning
  International Conference on Learning Representations (ICLR), 2025
  Hongyu Qu, Jianan Wei, Xiangbo Shu, Wenguan Wang
  [Paper] [Code]

• Compact Latent Primitive Space Learning for Compositional Zero-Shot Learning
  IEEE Transactions on Multimedia, 2025
  Han Jiang, Chaofan Chen, Xiaoshan Yang, Changsheng Xu
  [Paper]

• Visual primitives as words: Alignment and interaction for compositional zero-shot learning
  Pattern Recognition, 2025
  Feng Shuang, Jiahuan Li, Qingbao Huang, Wenye Zhao, Dongsheng Xu, Chao Han, Haonan Cheng
  [Paper]

2024

• Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
  Computer Vision and Pattern Recognition (CVPR), 2024
  Yun Li, Zhe Liu, Hang Chen, Lina Yao
  [Paper]

• Troika: Multi-path cross-modal traction for compositional zero-shot learning
  Computer Vision and Pattern Recognition (CVPR), 2024
  Siteng Huang, Biao Gong, Yutong Feng, Min Zhang, Yiliang Lv, Donglin Wang
  [Paper] [Code]

• Procc: Progressive cross-primitive compatibility for open-world compositional zero-shot learning
  Proceedings of the AAAI Conference on Artificial Intelligence 2024
  Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu
  [Paper] [Code]

• A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
  Proceedings of the AAAI Conference on Artificial Intelligence 2024
  Xiaoming Hu, Zilei Wang
  [Paper]

• Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning
  Proceedings of the AAAI Conference on Artificial Intelligence 2024
  Chenyi Jiang, Haofeng Zhang
  [Paper]

• Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
  Proceedings of the AAAI Conference on Artificial Intelligence 2024
  Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen
  [Paper]

• GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
  Guangyue Xu, Joyce Chai, Parisa Kordjamshidi
  [Paper] [Code]

• CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
  Zhaoheng Zheng, Haidong Zhu, Ram Nevatia
  [Paper] [Code]

2023

• Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
  Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang
  [Paper]

• Learning to Infer Unseen Single-/ Multi-Attribute-Object Compositions With Graph Networks
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
  Hui Chen, Jingjing Jiang, and Nanning Zheng
  [Paper]

• Leveraging Sub-class Discimination for Compositional Zero-Shot Learning
  Proceedings of the AAAI Conference on Artificial Intelligence, 2023
  Xiaoming Hu, Zilei Wang,
  [Paper] [Code]

• Dual-Stream Contrastive Learning for Compositional Zero-Shot Recognition
  IEEE Transactions on Multimedia, 2023
  Yanhua Yang, Rui Pan, Xiangyu Li, Xu Yang, and Cheng Deng
  [Paper]

• Hierarchical Prompt Learning for Compositional Zero-Shot Recognition
  Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), 2023
  Henan Wang , Muli Yang, Kun Wei and Cheng Deng
  [Paper]

• Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
  Computer Vision and Pattern Recognition (CVPR), 2023
  Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo
  [Paper] [Code]

• Learning Attention as Disentangler for Compositional Zero-shot Learning
  Computer Vision and Pattern Recognition (CVPR), 2023
  Shaozhe Hao, Kai Han, Kwan-Yee K. Wong
  [Paper] [Code] [Website]

• Learning Conditional Attributes for Compositional Zero-Shot Learning
  Computer Vision and Pattern Recognition (CVPR), 2023
  Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen
  [Paper] [Code]

• Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
  International Conference on Learning Representations (ICLR), 2023
  Nihal V. Nayak, Peilin Yu, Stephen H. Bach
  [Paper] [Code]

• Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
  IEEE/CVF International Conference on Computer Vision (ICCV), 2023
  Yun Li, Zhe Liu, Saurav Jha, Lina Yao
  [Paper]

• Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning
  IEEE/CVF International Conference on Computer Vision (ICCV), 2023
  Hanjae Kim, Jiyoung Lee, Seongheon Park, Kwanghoon Sohn
  [Paper] [Code]

• Learning Attention Propagation for Compositional Zero-Shot Learning
  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
  Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, A. Pagani, Didier Stricker Muhammad Zeshan Afzal
  [Paper] [Code]

2022

• A decomposable causal view of compositional zero-shot learning
  IEEE Transactions on Multimedia 2022
  Muli Yang, Chenghao Xu, Aming Wu, and Cheng Deng
  [Paper] [Code]

• Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
  Computer Vision and Pattern Recognition (CVPR), 2022
  Xiangyu Li, Xu Yang, Kun Wei, Cheng Deng, Muli Yang
  [Paper] [Code]

• KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning
  Computer Vision and Pattern Recognition (CVPR), 2022
  Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata
  [Paper] [Code]

• Disentangling Visual Embeddings for Attributes and Objects
  Computer Vision and Pattern Recognition (CVPR), 2022
  Nirat Saini, Khoi Pham, Abhinav Shrivastava
  [Paper] [Code]

• Learning Invariant Visual Representations for Compositional Zero-Shot Learning
  European Conference on Computer Vision (ECCV), 2022
  Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma and Jun Guo
  [Paper] [Code]

• Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
  IEEE Transactions on pattern analysis and machine intelligence (TPAMI), 2022
  Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, and Zeynep Akata
  [Paper] [Code]

2021

• Learning Graph Embeddings for Compositional Zero-shot Learning
  Computer Vision and Pattern Recognition (CVPR), 2021
  Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata
  [Paper] [Code]

• Open World Compositional Zero-Shot Learning
  Computer Vision and Pattern Recognition (CVPR), 2021
  Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
  [Paper] [Code]

• Independent Prototype Propagation for Zero-Shot Compositionality
  Advances in Neural Information Processing Systems (NeurIPS), 2021
  Frank Ruis, Gertjan J. Burghouts, Doina Bucur
  [Paper] [Code]

• Relation-aware compositional zero-shot learning for attribute-object pair recognition
  IEEE Transactions on Multimedia, 2021
  Ziwei Xu, Guangzhi Wang, Yongkang Wong, Mohan Kankanhalli
  [Paper] [Code]

• Learning Single/Multi-Attribute of Object with Symmetry and Group
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
  Yong-Lu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Cewu Lu
  [Paper] [Code]

2020

• Symmetry and Group in Attribute-Object Compositions
  Computer Vision and Pattern Recognition (CVPR), 2020
  Yong-Lu Li, Yue Xu, Xiaohan Mao, Cewu Lu
  [Paper] [Code]

• Learning Unseen Concepts via Hierarchical Decomposition and Composition
  Computer Vision and Pattern Recognition (CVPR), 2020
  Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao
  [Paper] [Code]

• A causal view of compositional zero-shot recognition
  Advances in Neural Information Processing Systems (NeurIPS), 2021
  Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik
  [Paper] [Code]

2019

• Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition
  IEEE/CVF International Conference on Computer Vision (ICCV), 2019
  Kun Wei, Muli Yang, Hao Wang, Cheng Deng, Xianglong Liu
  [Paper]

• Task-Driven Modular Networks for Zero-Shot Compositional Learning
  IEEE/CVF International Conference on Computer Vision (ICCV), 2019
  Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc’Aurelio Ranzato
  [Paper]

• Recognizing unseen attribute-object pair with generative model
  Proceedings of the AAAI Conference on Artificial Intelligence, 2019
  Zhixiong Nan, Yang Liu, Nanning Zheng, Song-Chun Zhu
  [Paper]

2018

• Attributes as Operators: Factorizing Unseen Attribute-Object Compositions
  European Conference on Computer Vision (ECCV), 2018
  Tushar Nagarajan, Kristen Grauman
  [Paper]

2017

• From Red Wine to Red Tomato: Composition with Context
  Computer Vision and Pattern Recognition (CVPR), 2017
  Ishan Misra, Abhinav Gupta, Martial Hebert
  [Paper]