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Generalized Zero-Shot Learning

In generalized zero shot learning (GZSL), the set of classes are split into seen and unseen classes, where training relies on the semantic features of the seen and unseen classes and the visual representations of only the seen classes, while testing uses the visual representations of the seen and unseen classes.

Papers

Showing 101125 of 161 papers

TitleStatusHype
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot LearningCode1
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders0
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot LearningCode1
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning0
Class Normalization for (Continual)? Generalized Zero-Shot LearningCode1
Zero-Shot Learning with Common Sense Knowledge GraphsCode1
Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition0
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention0
Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning0
Improving Generalized Zero-Shot Learning by Semantic Discriminator0
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings0
From Generalized zero-shot learning to long-tail with class descriptorsCode1
Generalized Zero-Shot Learning Via Over-Complete DistributionCode0
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot LearningCode1
Latent Embedding Feedback and Discriminative Features for Zero-Shot ClassificationCode1
Domain segmentation and adjustment for generalized zero-shot learning0
Transductive Zero-Shot Learning for 3D Point Cloud ClassificationCode1
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning0
Zero-Shot Recognition via Optimal Transport0
Generalized Zero-shot ICD Coding0
Relation-based Generalized Zero-shot Classification with the Domain Discriminator on the shared representation0
Alleviating Feature Confusion for Generative Zero-shot LearningCode0
A Meta-Learning Framework for Generalized Zero-Shot LearningCode0
SDM-Net: A Simple and Effective Model for Generalized Zero-Shot Learning0
Transferable Contrastive Network for Generalized Zero-Shot Learning0
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