Awesome Compositional Zero-Shot Learning

Compositional Zero-Shot Learning (CZSL) aims to recognize unseen concepts composited of learned state and object primitives. Specifically, given old tiger and young cat in the training stage, we need to identify young tiger and old cat during inferencing.

Contents

• Datasets
• Papers

Datasets

MIT-States[paper][download]

UT-Zappos[paper][download]

C-GQA[paper][download]

AO-CLEVr[paper][download]

VAW-CZSL[paper][download]

Compositional PartNet[paper][download]

Papers

2023

• DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning, arxiv2023. [paper]

• Prompting Language-Informed Distribution for Compositional Zero-Shot Learning, arxiv2023. [paper]

• CAILA: Concept-Aware Intra-Layer Adapters for Compositional Zero-Shot Learning, arxiv2023. [paper]

• Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning, arxiv2023. [paper]

• Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning, arxiv2023.[paper]

• Isolating Features of Object and Its State for Compositional Zero-Shot Learning, TETCI2023.[paper]

• Learning Attention Propagation for Compositional Zero-Shot Learning, WACV2023.[paper]

• Learning to Compose Soft Prompts for Compositional Zero-Shot Learning, ICLR2023. [paper][code]

• Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning, CVPR2023.[paper][code]

2022

• A Decomposable Causal View of Compositional Zero-Shot Learning, TMM2022.[paper][code]
• KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning, CVPR2022.[paper][code]
• Disentangling Visual Embeddings for Attributes and Objects, CVPR2022.[paper][code]
• Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning, CVPR2022.[paper][code]
• On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning, ACMMM2022.[paper]
• 3D Compositional Zero-shot Learning with DeCompositional Consensus, ECCV2022.[paper][code]
• Learning Invariant Visual Representations for Compositional Zero-Shot Learning, ECCV2022.[paper][code]
• Learning Graph Embeddings for Open World Compositional Zero-Shot Learning, TPAMI2022.[paper]
• Bi-Modal Compositional Network for Feature Disentanglement, ICIP2022.[paper]

2021

• Learning Graph Embeddings for Compositional Zero-Shot Learning, CVPR2021.[paper][code]
• Open World Compositional Zero-Shot Learning, CVPR2021.[paper][code]
• Independent Prototype Propagation for Zero-Shot Compositionality, NeurIPS2021.[paper][code]
• Learning Single/Multi-Attribute of Object with Symmetry and Group, TPAMI 2021.[paer][code]
• Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition, TMM2021.[paper][code]
• A Contrastive Learning Approach for Compositional Zero-Shot Learning, ICMI2021.[paper]

2020

• Symmetry and Group in Attribute-Object Compositions, CVPR2020.[paper][code]
• Learning Unseen Concepts via Hierarchical Decomposition and Composition, CVPR2020.[paper]
• A causal view of compositional zero-shot recognition, NeurIPS2020.[paper] | [code]
• Compositional Zero-Shot Learning via Fine-Grained Dense Feature Composition, NeurIPS2020.[paper][code]|

2019

• Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition, ICCV2019.[paper]
• Task-Driven Modular Networks for Zero-Shot Compositional Learning, ICCV2019.[paper][code] |
• Recognizing Unseen Attribute-Object Pair with Generative Model, AAAI2019.[paper]

2018

• Attributes as Operators: Factorizing Unseen Attribute-Object Compositions, CVPR 2018.[paper][code] |

2017

• From Red Wine to Red Tomato: Composition with Context, CVPR2017.[paper][code]