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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 76–100 of 161 papers

TitleStatusHype
Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning—0
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning—0
Rectification-based Knowledge Retention for Continual Learning—0
Relation-based Generalized Zero-shot Classification with the Domain Discriminator on the shared representation—0
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning—0
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning—0
Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning—0
Progressive Ensemble Networks for Zero-Shot Recognition—0
Semantic Borrowing for Generalized Zero-Shot Learning—0
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector—0
Semantic Feature Extraction for Generalized Zero-shot Learning—0
SDM-Net: A Simple and Effective Model for Generalized Zero-Shot Learning—0
Synthetic Sample Selection for Generalized Zero-Shot Learning—0
Task Aligned Generative Meta-learning for Zero-shot Learning—0
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning—0
Transferable Contrastive Network for Generalized Zero-Shot Learning—0
Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners—0
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning—0
Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning—0
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning—0
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery—0
Zero-Shot Learning Based Approach For Medieval Word Recognition Using Deep-Learned Features—0
Zero-shot Learning via Shared-Reconstruction-Graph Pursuit—0
Targeted Attention for Generalized- and Zero-Shot Learning—0
A Generalized Zero-Shot Framework for Emotion Recognition from Body Gestures—0
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