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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
Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning—0
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
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
From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process—0
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning—0
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation—0
Generalized Zero-Shot Domain Adaptation via Coupled Conditional Variational Autoencoders—0
Generalized Zero-shot ICD Coding—0
Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data—0
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification—0
Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts—0
Generalized Zero-Shot Learning via Synthesized Examples—0
Generalized Zero-Shot Learning with Deep Calibration Network—0
Generalized Zero-Shot Recognition based on Visually Semantic Embedding—0
Global Semantic Consistency for Zero-Shot Learning—0
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning—0
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning—0
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning—0
Hierarchical Novelty Detection for Visual Object Recognition—0
High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning—0
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification—0
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