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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

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Showing 1–50 of 161 papers

TitleStatusHype
Zero-Shot Learning with Common Sense Knowledge GraphsCode1
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot LearningCode1
From Generalized zero-shot learning to long-tail with class descriptorsCode1
Zero-Shot Logit AdjustmentCode1
Learn to Adapt for Generalized Zero-Shot Text ClassificationCode1
A Review of Generalized Zero-Shot Learning MethodsCode1
Goal-Oriented Gaze Estimation for Zero-Shot LearningCode1
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot LearningCode1
Transductive Zero-Shot Learning for 3D Point Cloud ClassificationCode1
Bias-Eliminated Semantic Refinement for Any-Shot LearningCode1
Semantics Disentangling for Generalized Zero-Shot LearningCode1
Multi-Label Generalized Zero Shot Learning for the Classification of Disease in Chest RadiographsCode1
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class NamesCode1
Contrastive Embedding for Generalized Zero-Shot LearningCode1
Feature Generating Networks for Zero-Shot LearningCode1
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point CloudsCode1
Latent Embedding Feedback and Discriminative Features for Zero-Shot ClassificationCode1
Leveraging Foundation Models for Zero-Shot IoT SensingCode1
Class Normalization for (Continual)? Generalized Zero-Shot LearningCode1
Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action RecognitionCode1
Unseen Classes at a Later Time? No ProblemCode1
Adaptive and Generative Zero-Shot LearningCode1
Dual Feature Augmentation Network for Generalized Zero-shot LearningCode1
FREE: Feature Refinement for Generalized Zero-Shot LearningCode1
Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot LearningCode1
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot LearningCode1
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal ModelsCode1
Improving Zero-Shot Generalization for CLIP with Synthesized PromptsCode1
Generalized Zero-Shot Learning via VAE-Conditioned Generative FlowCode1
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning—0
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition—0
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders—0
Zero-Shot Recognition via Optimal Transport—0
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition—0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures—0
Generalized Zero-shot ICD Coding—0
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification—0
Integrated Generalized Zero-Shot Learning for Fine-Grained Classification—0
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning—0
Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning—0
En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning—0
Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning—0
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation—0
Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data—0
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning—0
Dual Progressive Prototype Network for Generalized Zero-Shot Learning—0
CLAREL: Classification via retrieval loss for zero-shot learning—0
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning—0
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings—0
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention—0
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