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Compositional Zero-Shot Learning

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Papers

DIFFCZSL: Compositional Zero-Shot Learning Regularized by Diffusion Representations

2026-08-20 · Hangyu Tian, Zhenqi He, Yanghao Wang, Long Chen arxiv

Compositional Zero-Shot Learning (CZSL) aims to recognize unseen attribute-object compositions by leveraging knowledge of primitive concepts learned from seen compositions. Although recent works achieve impressive perfor…

Compositional Zero-Shot Learning

Progressive Reasoning with Primitive Correction for Compositional Zero-Shot Learning

2026-07-07 · Ziyi Chen, Haoyan Shi, Sunhan Xu, Congyan Lang arxiv

Compositional Zero-Shot Learning (CZSL) aims to combine known attributes and objects as primitives for recognizing previously unseen attribute-object pairs. Prior works either predict attributes and objects independently…

Compositional Zero-Shot LearningReinforcement Learning

FlowComposer: Composable Flows for Compositional Zero-Shot Learning

2026-03-17 · Zhenqi He, Lin Li, Long Chen arxiv

Compositional zero-shot learning (CZSL) aims to recognize unseen attribute-object compositions by recombining primitives learned from seen pairs. Recent CZSL methods built on vision-language models (VLMs) typically adopt…

Compositional Zero-Shot Learningparameter-efficient fine-tuning

Structure-aware Prompt Adaptation from Seen to Unseen for Open-Vocabulary Compositional Zero-Shot Learning

2026-03-04 · Yihang Duan, Jiong Wang, Pengpeng Zeng, Ji Zhang 외 arxiv

The goal of Open-Vocabulary Compositional Zero-Shot Learning (OV-CZSL) is to recognize attribute-object compositions in the open-vocabulary setting, where compositions of both seen and unseen attributes and objects are e…

Compositional Zero-Shot Learning

WARM-CAT: Warm-Started Test-Time Comprehensive Knowledge Accumulation for Compositional Zero-Shot Learning

2026-02-26 · Xudong Yan, Songhe Feng, Jiaxin Wang, Xin Su 외 arxiv

Compositional Zero-Shot Learning (CZSL) aims to recognize novel attribute-object compositions based on the knowledge learned from seen ones. Existing methods suffer from performance degradation caused by the distribution…

Compositional Zero-Shot LearningRepresentation Learning

$\text{H}^2$em: Learning Hierarchical Hyperbolic Embeddings for Compositional Zero-Shot Learning

2025-12-23 · Lin Li, Jiahui Li, Jiaming Lei, Jun Xiao 외 arxiv

Compositional zero-shot learning (CZSL) aims to recognize unseen state-object compositions by generalizing from a training set of their primitives (state and object). Current methods often overlook the rich hierarchical …

Compositional Zero-Shot Learning

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