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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

Showing 101125 of 161 papers

TitleStatusHype
A Generative Approach to Zero-Shot and Few-Shot Action Recognition0
An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning0
Integrated Generalized Zero-Shot Learning for Fine-Grained Classification0
Zero-Shot Recognition via Optimal Transport0
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition0
A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings0
Audio-visual Generalized Zero-shot Learning the Easy Way0
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning0
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings0
Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning0
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification0
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition0
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning0
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification0
Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning0
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning0
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning0
Distinguishing Unseen From Seen for Generalized Zero-Shot Learning0
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning0
Domain segmentation and adjustment for generalized zero-shot learning0
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning0
Dual Progressive Prototype Network for Generalized Zero-Shot Learning0
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning0
En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning0
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning0
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