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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
Mitigating Generation Shifts for Generalized Zero-Shot LearningCode0
Zero-Shot Learning by Harnessing Adversarial SamplesCode0
Attribute-Aware Representation Rectification for Generalized Zero-Shot LearningCode0
Data-Free Generalized Zero-Shot LearningCode0
Alleviating Feature Confusion for Generative Zero-shot LearningCode0
Leveraging the Invariant Side of Generative Zero-Shot LearningCode0
Data Distribution Distilled Generative Model for Generalized Zero-Shot RecognitionCode0
Learning Generalized Zero-Shot Learners for Open-Domain Image GeolocalizationCode0
Less but Better: Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM SemanticsCode0
A Deep Dive into Adversarial Robustness in Zero-Shot LearningCode0
Multi-modal Cycle-consistent Generalized Zero-Shot LearningCode0
Generalized Zero- and Few-Shot Learning via Aligned Variational AutoencodersCode0
Deconstructed Generation-Based Zero-Shot ModelCode0
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning—0
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning—0
From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process—0
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition—0
CLAREL: Classification via retrieval loss for zero-shot learning—0
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention—0
Fine-grained Event Classification in News-like Text Snippets - Shared Task 2, CASE 2021—0
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition—0
Zero-Shot Recognition via Optimal Transport—0
`Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning—0
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning—0
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models—0
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