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Compositional Zero-Shot Learning

Compositional Zero-Shot Learning (CZSL) is a computer vision task in which the goal is to recognize unseen compositions fromed from seen state and object during training. The key challenge in CZSL is the inherent entanglement between the state and object within the context of an image. Some example benchmarks for this task are MIT-states, UT-Zappos, and C-GQA. Models are usually evaluated with the Accuracy for both seen and unseen compositions, as well as their Harmonic Mean(HM).

( Image credit: Heosuab )

Papers

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Showing 11–20 of 65 papers

Title	Date	Tasks	Status	Hype
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning	Apr 7, 2022	AttributeCompositional Zero-Shot Learning	CodeCode Available	1
Leveraging MLLM Embeddings and Attribute Smoothing for Compositional Zero-Shot Learning	Nov 18, 2024	AttributeCompositional Zero-Shot Learning	CodeCode Available	1
Open World Compositional Zero-Shot Learning	Jan 29, 2021	Compositional Zero-Shot LearningZero-Shot Learning	CodeCode Available	1
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning	May 23, 2023	Compositional Zero-Shot LearningInformativeness	CodeCode Available	1
A causal view of compositional zero-shot recognition	Jun 25, 2020	AttributeCompositional Zero-Shot Learning	CodeCode Available	1
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning	May 13, 2022	Compositional Zero-Shot LearningMissing Labels	CodeCode Available	1
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning	Nov 19, 2022	Compositional Zero-Shot LearningNovel Concepts	CodeCode Available	1
Disentangling Visual Embeddings for Attributes and Objects	May 17, 2022	AttributeCompositional Zero-Shot Learning	CodeCode Available	1
Learning Conditional Attributes for Compositional Zero-Shot Learning	May 29, 2023	AttributeCompositional Zero-Shot Learning	CodeCode Available	1
Synthesize, Diagnose, and Optimize: Towards Fine-Grained Vision-Language Understanding	Nov 30, 2023	AttributeCompositional Zero-Shot Learning	CodeCode Available	1

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