https://github.com/YtJin-git/awesome-CZSL-papers
Awesome Compositional Zero-shot Learning papers.
https://github.com/YtJin-git/awesome-CZSL-papers
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Awesome Compositional Zero-shot Learning papers.
- Host: GitHub
- URL: https://github.com/YtJin-git/awesome-CZSL-papers
- Owner: YtJin-git
- License: mit
- Created: 2023-11-13T04:32:16.000Z (over 1 year ago)
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- Last Pushed: 2025-05-20T12:56:19.000Z (about 1 month ago)
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- Readme: README.md
- License: LICENSE
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README
# Awesome-Compositional-Zero-Shot-Learning-Papers
Awesome Compositional Zero-shot Learning papers.
Generally, composition zero-shot learning methods are divided into three different classes: disentangled CZSL methods, composed CZSL methods and CLIP-based methods, distinguished by the distribution of attributes and objects. Due to the limit of my comprehension, the following classifications are for reference only, papers are the key points.：）
# Paper List Sorted by Type
- [Disentangled CZSL Methods](#Disentangled-CZSL-Methods)
- [Composed CZSL Methods](#Composed-CZSL-Methods)
- [CLIP-based CZSL Methods](#CLIP-based-CZSL-Methods)
### Disentangled CZSL Methods
- **Disentangling Before Composing: Learning Invariant Disentangled Features for Compositional Zero-Shot Learning** (2024 TPAMI), Tian Zhang et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10737100)
- **Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning** (2024 CVPR), Nirat Saini et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10654965)
- **LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning** (2024 TCSVT), Xingjiang Ma et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638107)
- **Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning(SAD-SP)** (2024 TPAMI), Zhe Liu et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10274865)
- **Learning Attention as Disentangler for Compositional Zero-shot Learning(ADE)** (2023 CVPR), Shaozhe Hao et al. [[pdf]](https://i.cs.hku.hk/~kykwong/publications/shao_cvpr2023.pdf)
- **Leveraging Sub-class Discimination for Compositional Zero-Shot Learning** (2023 AAAI), Xiaoming Hu et al. [[pdf]](https://ojs.aaai.org/index.php/AAAI/article/view/25168/24940)
- **Disentangling Visual Embeddings for Attributes and Objects(OADis)** (2022 CVPR), Nirat Saini et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Saini_Disentangling_Visual_Embeddings_for_Attributes_and_Objects_CVPR_2022_paper.pdf)
- **KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning(KG-SP)** (2022 CVPR), Shyamgopal Karthik et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Karthik_KG-SP_Knowledge_Guided_Simple_Primitives_for_Open_World_Compositional_Zero-Shot_CVPR_2022_paper.pdf)
- **Learning Invariant Visual Representations for Compositional Zero-Shot Learning** (2022 ECCV), Tian Zhang et al. [[pdf]](https://arxiv.org/pdf/2206.00415.pdf)
- **Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning(SCEN)** (2022 CVPR), Xiangyu Li et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Li_Siamese_Contrastive_Embedding_Network_for_Compositional_Zero-Shot_Learning_CVPR_2022_paper.pdf)
- **Independent Prototype Propagation for Zero-Shot Compositionality(ProtoProp)** (2021 NeurIPS), Frank Ruis et al. [[pdf]](https://proceedings.neurips.cc/paper_files/paper/2021/file/584b98aac2dddf59ee2cf19ca4ccb75e-Paper.pdf)
- **Learning Single/Multi-Attribute of Object With Symmetry and Group(SymNet)** (2021 TPAMI), Yong-Lu Li et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9568710)
- **Revisiting Visual Product for Compositional Zero-Shot Learning(VisProd)** (2021 NeurIPS), Shyamgopal Karthik et al. [[pdf]](https://openreview.net/pdf?id=Yc9Vh1nn-2I)
- **Relation-Aware Compositional Zero-Shot Learning for Attribute-Object Pair Recognition(BMP-Net)** (2021 TMM), Ziwei Xu et al. [[pdf]](https://arxiv.org/pdf/2108.04603.pdf)
- **A Causal View of Compositional Zero-shot Recognition** (2020 NeurIPS), Yuval Atzmon et al. [[pdf]](https://papers.nips.cc/paper_files/paper/2020/file/1010cedf85f6a7e24b087e63235dc12e-Paper.pdf)
- **Learning Unseen Concepts via Hierarchical Decomposition and Composition(HiDC)** (2020 CVPR), Muli Yang et al. [[pdf]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yang_Learning_Unseen_Concepts_via_Hierarchical_Decomposition_and_Composition_CVPR_2020_paper.pdf)
- **Symmetry and Group in Attribute-Object Compositions(SymNet)** (2020 CVPR), Yong-Lu Li et al. [[pdf]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Li_Symmetry_and_Group_in_Attribute-Object_Compositions_CVPR_2020_paper.pdf)
- **Attributes as Operators: Factorizing Unseen Attribute-Object Compositions(AttrAsOp)** (2018 ECCV), Tushar Nagarajan et al. [[pdf]](https://openaccess.thecvf.com/content_ECCV_2018/papers/Tushar_Nagarajan_Attributes_as_Operators_ECCV_2018_paper.pdf)
- **From Red Wine to Red Tomato: Composition with Context** (2017 CVPR), Ishan Misra et al. [[pdf]](https://openaccess.thecvf.com/content_cvpr_2017/papers/Misra_From_Red_Wine_CVPR_2017_paper.pdf)
### Composed CZSL Methods
- **Learning Conditional Attributes for Compositional Zero-Shot Learning(CANet)** (2023 CVPR), Qingsheng Wang et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Learning_Conditional_Attributes_for_Compositional_Zero-Shot_Learning_CVPR_2023_paper.pdf)
- **Learning to Infer Unseen Single-Multi-Attribute-Object Compositions With Graph Networks** (2023 TPAMI), Hui Chen et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10120982)
- **On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning(CVGAE)** (2022 ACM Multimedia), Muhammad Umer Anwaar et al. [[pdf]](https://arxiv.org/pdf/2204.11848.pdf)
- **Learning Graph Embeddings for Compositional Zero-Shot Learning(CGE)** (2021 CVPR), Muhammad Ferjad Naeem et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Naeem_Learning_Graph_Embeddings_for_Compositional_Zero-Shot_Learning_CVPR_2021_paper.pdf)
- **Learning Graph Embeddings for Open World Compositional Zero-Shot Learning(Co-CGE)** (2021 TPAMI), Massimiliano Mancini et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9745371)
- **Open World Compositional Zero-Shot Learning(CompCos)** (2021 CVPR), Massimiliano Mancini et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Mancini_Open_World_Compositional_Zero-Shot_Learning_CVPR_2021_paper.pdf)
- **Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition** (2019 ICCV), Kun Wei et al. [[pdf]](https://openaccess.thecvf.com/content_ICCV_2019/papers/Wei_Adversarial_Fine-Grained_Composition_Learning_for_Unseen_Attribute-Object_Recognition_ICCV_2019_paper.pdf)
- **Task-Driven Modular Networks for Zero-Shot Compositional Learning(TMN)** (2019 ICCV), Senthil Purushwalkamet al. [[pdf]](https://openaccess.thecvf.com/content_ICCV_2019/papers/Purushwalkam_Task-Driven_Modular_Networks_for_Zero-Shot_Compositional_Learning_ICCV_2019_paper.pdf)
### CLIP-based CZSL Methods
- **Learning Clustering-based Prototypes for Compositional Zero-shot Learning(CLUSPRO)** (2025 ICLR), Hongyu Qu et al. [[pdf]](https://arxiv.org/pdf/2502.06501v2)
- **Prompting language-informed distribution for compositional zero-shot learning** (2024 ECCV), Wentao Bao et al. [[pdf]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/02160.pdf)
- **MRSP: Learn Multi-representations of Single Primitive for Compositional Zero-Shot Learning** (2024 ECCV), Dongyao Jiang et al. [[pdf]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/08153.pdf)
- **Imaginary-Connected Embedding in Complex Space for Unseen Attribute-Object Discrimination** (2024 TPAMI), Chenyi Jiang et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10737702)
- **Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning** (2024 CVPR), Siteng Huang et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Huang_Troika_Multi-Path_Cross-Modal_Traction_for_Compositional_Zero-Shot_Learning_CVPR_2024_paper.pdf)
- **Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning(CDS-CZSL)** (2024 CVPR), Yun Li et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Li_Context-based_and_Diversity-driven_Specificity_in_Compositional_Zero-Shot_Learning_CVPR_2024_paper.pdf)
- **Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning** (2024 AAAI), Chenchen Jing et al. [[pdf]](https://ojs.aaai.org/index.php/AAAI/article/download/28043/28096)
- **Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning** (2024 AAAI), Chenyi Jiang et al. [[pdf]](https://ojs.aaai.org/index.php/AAAI/article/download/28026/28065)
- **CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-shot Learning(CAILA)** (2024 WACV), Zhaoheng Zheng et al. [[pdf]](https://arxiv.org/pdf/2305.16681.pdf)
- **GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning(GIPCOL)** (2024 WACV), Guangyue Xu et al. [[pdf]](https://arxiv.org/pdf/2311.05729.pdf)
- **Hierarchical Prompt Learning for Compositional Zero-Shot Recognition** (2023 IJCAI), Henan Wang et al. [[pdf]](https://www.ijcai.org/proceedings/2023/0163.pdf)
- **Learning to Compose Soft Prompts for Compositional Zero-Shot Learning(CSP)** (2023 ICLR), Nihal Nayak et al. [[pdf]](https://arxiv.org/pdf/2204.03574)
- **Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning(DFSP)** (2023 CVPR), Xiaocheng Lu et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Lu_Decomposed_Soft_Prompt_Guided_Fusion_Enhancing_for_Compositional_Zero-Shot_Learning_CVPR_2023_paper.pdf)
# Paper List Sorted by Year
- **Learning Clustering-based Prototypes for Compositional Zero-shot Learning(CLUSPRO)** (2025 ICLR), Hongyu Qu et al. [[pdf]](https://arxiv.org/pdf/2502.06501v2)
- **Prompting language-informed distribution for compositional zero-shot learning** (2024 ECCV), Wentao Bao et al. [[pdf]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/02160.pdf)
- **MRSP: Learn Multi-representations of Single Primitive for Compositional Zero-Shot Learning** (2024 ECCV), Dongyao Jiang et al. [[pdf]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/08153.pdf)
- **Imaginary-Connected Embedding in Complex Space for Unseen Attribute-Object Discrimination** (2024 TPAMI), Chenyi Jiang et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10737702)
- **Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning** (2024 CVPR), Siteng Huang et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Huang_Troika_Multi-Path_Cross-Modal_Traction_for_Compositional_Zero-Shot_Learning_CVPR_2024_paper.pdf)
- **Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning(CDS-CZSL)** (2024 CVPR), Yun Li et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2024/papers/Li_Context-based_and_Diversity-driven_Specificity_in_Compositional_Zero-Shot_Learning_CVPR_2024_paper.pdf)
- **Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning** (2024 AAAI), Chenchen Jing et al. [[pdf]](https://ojs.aaai.org/index.php/AAAI/article/download/28043/28096)
- **Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning** (2024 AAAI), Chenyi Jiang et al. [[pdf]](https://ojs.aaai.org/index.php/AAAI/article/download/28026/28065)
- **CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-shot Learning(CAILA)** (2024 WACV), Zhaoheng Zheng et al. [[pdf]](https://arxiv.org/pdf/2305.16681.pdf)
- **GIPCOL: Graph-Injected Soft Prompting for Compositional Zero-Shot Learning(GIPCOL)** (2024 WACV), Guangyue Xu et al. [[pdf]](https://arxiv.org/pdf/2311.05729.pdf)
- **Hierarchical Prompt Learning for Compositional Zero-Shot Recognition** (2023 IJCAI), Henan Wang et al. [[pdf]](https://www.ijcai.org/proceedings/2023/0163.pdf)
- **Disentangling Before Composing: Learning Invariant Disentangled Features for Compositional Zero-Shot Learning** (2024 TPAMI), Tian Zhang et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10737100)
- **Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning** (2024 CVPR), Nirat Saini et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10654965)
- **LVAR-CZSL: Learning Visual Attributes Representation for Compositional Zero-Shot Learning** (2024 TCSVT), Xingjiang Ma et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10638107)
- **Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning(SAD-SP)** (2024 TPAMI), Zhe Liu et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10274865)
- **Learning Attention as Disentangler for Compositional Zero-shot Learning(ADE)** (2023 CVPR), Shaozhe Hao et al. [[pdf]](https://i.cs.hku.hk/~kykwong/publications/shao_cvpr2023.pdf)
- **Learning to Compose Soft Prompts for Compositional Zero-Shot Learning(CSP)** (2023 ICLR), Nihal Nayak et al. [[pdf]](https://arxiv.org/pdf/2204.03574)
- **Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning(DFSP)** (2023 CVPR), Xiaocheng Lu et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Lu_Decomposed_Soft_Prompt_Guided_Fusion_Enhancing_for_Compositional_Zero-Shot_Learning_CVPR_2023_paper.pdf)
- **Leveraging Sub-class Discimination for Compositional Zero-Shot Learning** (2023 AAAI), Xiaoming Hu et al. [[pdf]](https://ojs.aaai.org/index.php/AAAI/article/view/25168/24940)
- **Learning Conditional Attributes for Compositional Zero-Shot Learning(CANet)** (2023 CVPR), Qingsheng Wang et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_Learning_Conditional_Attributes_for_Compositional_Zero-Shot_Learning_CVPR_2023_paper.pdf)
- **Learning to Infer Unseen Single-Multi-Attribute-Object Compositions With Graph Networks** (2023 TPAMI), Hui Chen et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10120982)
- **Disentangling Visual Embeddings for Attributes and Objects(OADis)** (2022 CVPR), Nirat Saini et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Saini_Disentangling_Visual_Embeddings_for_Attributes_and_Objects_CVPR_2022_paper.pdf)
- **KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning(KG-SP)** (2022 CVPR), Shyamgopal Karthik et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Karthik_KG-SP_Knowledge_Guided_Simple_Primitives_for_Open_World_Compositional_Zero-Shot_CVPR_2022_paper.pdf)
- **Learning Invariant Visual Representations for Compositional Zero-Shot Learning** (2022 ECCV), Tian Zhang et al. [[pdf]](https://arxiv.org/pdf/2206.00415.pdf)
- **Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning(SCEN)** (2022 CVPR), Xiangyu Li et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2022/papers/Li_Siamese_Contrastive_Embedding_Network_for_Compositional_Zero-Shot_Learning_CVPR_2022_paper.pdf)
- **On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning(CVGAE)** (2022 ACM Multimedia), Muhammad Umer Anwaar et al. [[pdf]](https://arxiv.org/pdf/2204.11848.pdf)
- **Independent Prototype Propagation for Zero-Shot Compositionality(ProtoProp)** (2021 NeurIPS), Frank Ruis et al. [[pdf]](https://proceedings.neurips.cc/paper_files/paper/2021/file/584b98aac2dddf59ee2cf19ca4ccb75e-Paper.pdf)
- **Learning Single/Multi-Attribute of Object With Symmetry and Group(SymNet)** (2021 TPAMI), Yong-Lu Li et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9568710)
- **Revisiting Visual Product for Compositional Zero-Shot Learning(VisProd)** (2021 NeurIPS), Shyamgopal Karthik et al. [[pdf]](https://openreview.net/pdf?id=Yc9Vh1nn-2I)
- **Learning Graph Embeddings for Compositional Zero-Shot Learning(CGE)** (2021 CVPR), Muhammad Ferjad Naeem et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Naeem_Learning_Graph_Embeddings_for_Compositional_Zero-Shot_Learning_CVPR_2021_paper.pdf)
- **Learning Graph Embeddings for Open World Compositional Zero-Shot Learning(Co-CGE)** (2021 TPAMI), Massimiliano Mancini et al. [[pdf]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9745371)
- **Open World Compositional Zero-Shot Learning(CompCos)** (2021 CVPR), Massimiliano Mancini et al. [[pdf]](https://openaccess.thecvf.com/content/CVPR2021/papers/Mancini_Open_World_Compositional_Zero-Shot_Learning_CVPR_2021_paper.pdf)
- **Relation-Aware Compositional Zero-Shot Learning for Attribute-Object Pair Recognition(BMP-Net)** (2021 TMM), Ziwei Xu et al. [[pdf]](https://arxiv.org/pdf/2108.04603.pdf)
- **A Causal View of Compositional Zero-shot Recognition** (2020 NeurIPS), Yuval Atzmon et al. [[pdf]](https://papers.nips.cc/paper_files/paper/2020/file/1010cedf85f6a7e24b087e63235dc12e-Paper.pdf)
- **Learning Unseen Concepts via Hierarchical Decomposition and Composition(HiDC)** (2020 CVPR), Muli Yang et al. [[pdf]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Yang_Learning_Unseen_Concepts_via_Hierarchical_Decomposition_and_Composition_CVPR_2020_paper.pdf)
- **Symmetry and Group in Attribute-Object Compositions(SymNet)** (2020 CVPR), Yong-Lu Li et al. [[pdf]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Li_Symmetry_and_Group_in_Attribute-Object_Compositions_CVPR_2020_paper.pdf)
- **Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition** (2019 ICCV), Kun Wei et al. [[pdf]](https://openaccess.thecvf.com/content_ICCV_2019/papers/Wei_Adversarial_Fine-Grained_Composition_Learning_for_Unseen_Attribute-Object_Recognition_ICCV_2019_paper.pdf)
- **Task-Driven Modular Networks for Zero-Shot Compositional Learning(TMN)** (2019 ICCV), Senthil Purushwalkamet al. [[pdf]](https://openaccess.thecvf.com/content_ICCV_2019/papers/Purushwalkam_Task-Driven_Modular_Networks_for_Zero-Shot_Compositional_Learning_ICCV_2019_paper.pdf)
- **Attributes as Operators: Factorizing Unseen Attribute-Object Compositions(AttrAsOp)** (2018 ECCV), Tushar Nagarajan et al. [[pdf]](https://openaccess.thecvf.com/content_ECCV_2018/papers/Tushar_Nagarajan_Attributes_as_Operators_ECCV_2018_paper.pdf)
- **From Red Wine to Red Tomato: Composition with Context** (2017 CVPR), Ishan Misra et al. [[pdf]](https://openaccess.thecvf.com/content_cvpr_2017/papers/Misra_From_Red_Wine_CVPR_2017_paper.pdf)