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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 51–75 of 161 papers

TitleStatusHype
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models—0
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning—0
`Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning—0
High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning—0
Fine-grained Event Classification in News-like Text Snippets - Shared Task 2, CASE 2021—0
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention—0
CLAREL: Classification via retrieval loss for zero-shot learning—0
Improving Generalized Zero-Shot Learning by Semantic Discriminator—0
From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process—0
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning—0
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning—0
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning—0
Domain segmentation and adjustment for generalized zero-shot learning—0
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning—0
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning—0
Audio-visual Generalized Zero-shot Learning the Easy Way—0
Hierarchical Novelty Detection for Visual Object Recognition—0
Distinguishing Unseen From Seen for Generalized Zero-Shot Learning—0
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning—0
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning—0
Generalized Zero-Shot Recognition based on Visually Semantic Embedding—0
Generalized Zero-Shot Learning with Deep Calibration Network—0
A Generative Approach to Zero-Shot and Few-Shot Action Recognition—0
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning—0
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning—0
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