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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 126–150 of 161 papers

TitleStatusHype
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
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning—0
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification—0
Generalized Zero- and Few-Shot Learning via Aligned Variational AutoencodersCode0
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
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning—0
Unifying Unsupervised Domain Adaptation and Zero-Shot Visual RecognitionCode0
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
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-ImportanceCode0
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