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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 101–150 of 161 papers

TitleStatusHype
Integrated Generalized Zero-Shot Learning for Fine-Grained Classification—0
Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning—0
A Review of Open-World Learning and Steps Toward Open-World Learning Without LabelsCode0
Learning Graph-Based Priors for Generalized Zero-Shot Learning—0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures—0
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition—0
Learning Unseen Emotions from Gestures via Semantically-Conditioned Zero-Shot Perception with Adversarial Autoencoders—0
Bias-Awareness for Zero-Shot Learning the Seen and UnseenCode0
A Deep Dive into Adversarial Robustness in Zero-Shot LearningCode0
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders—0
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning—0
Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition—0
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention—0
Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning—0
Improving Generalized Zero-Shot Learning by Semantic Discriminator—0
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings—0
Generalized Zero-Shot Learning Via Over-Complete DistributionCode0
Domain segmentation and adjustment for generalized zero-shot learning—0
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning—0
Zero-Shot Recognition via Optimal Transport—0
Generalized Zero-shot ICD Coding—0
Relation-based Generalized Zero-shot Classification with the Domain Discriminator on the shared representation—0
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 Learning—0
Transferable Contrastive Network for Generalized Zero-Shot Learning—0
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning—0
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning—0
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects—0
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning—0
Zero-shot Word Sense Disambiguation using Sense Definition EmbeddingsCode0
Generalized Zero- and Few-Shot Learning via Aligned Variational AutoencodersCode0
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning—0
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification—0
CLAREL: Classification via retrieval loss for zero-shot learning—0
Learning shared manifold representation of images and attributes for generalized zero-shot learning—0
Leveraging the Invariant Side of Generative Zero-Shot LearningCode0
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual RecognitionCode0
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning—0
Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning—0
Multi-modal Ensemble Classification for Generalized Zero Shot Learning—0
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning—0
Generalized Zero- and Few-Shot Learning via Aligned Variational AutoencodersCode0
Generalized Zero-Shot Learning with Deep Calibration Network—0
Generalized Zero-Shot Recognition based on Visually Semantic Embedding—0
Generative Dual Adversarial Network for Generalized Zero-shot LearningCode0
Model Selection for Generalized Zero-shot Learning—0
Learning the Compositional Spaces for Generalized Zero-shot Learning—0
Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features—0
From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process—0
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