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Multi-label zero-shot learning

The goal of multi-label classification task is to predict a set of labels in an image. As an extension of zero-shot learning (ZSL), multi-label zero-shot learning (ML-ZSL) is developed to identify multiple seen and unseen labels in an image.

Papers

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Showing 1–27 of 27 papers

TitleStatusHype
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image ClassificationCode1
Label Propagation for Zero-shot Classification with Vision-Language ModelsCode1
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge TransferCode1
ML-Decoder: Scalable and Versatile Classification HeadCode1
Discriminative Region-based Multi-Label Zero-Shot LearningCode1
Contrastive Language-Image Pre-training for the Italian LanguageCode1
Semantic Diversity Learning for Zero-Shot Multi-label ClassificationCode1
Generative Multi-Label Zero-Shot LearningCode1
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial RelationsCode1
A Shared Multi-Attention Framework for Multi-Label Zero-Shot LearningCode1
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning—0
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned RepresentationCode0
Query-Based Knowledge Sharing for Open-Vocabulary Multi-Label Classification—0
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning—0
(ML)^2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning—0
Open Vocabulary Multi-Label Classification with Dual-Modal Decoder on Aligned Visual-Textual Features—0
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention—0
Zero-shot Learning for Audio-based Music Classification and TaggingCode0
Multi-Label Zero-Shot Learning with Transfer-Aware Label Embedding Projection—0
Multi-Label Zero-Shot Learning with Structured Knowledge GraphsCode0
Multi-Label Zero-Shot Human Action Recognition via Joint Latent Ranking Embedding—0
Multi-Label Zero-Shot Learning via Concept Embedding—0
Fast Zero-Shot Image Tagging—0
Label-Embedding for Image ClassificationCode0
Transductive Multi-class and Multi-label Zero-shot Learning—0
Transductive Multi-label Zero-shot Learning—0
Zero-Shot Learning by Convex Combination of Semantic EmbeddingsCode0
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