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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 51–100 of 161 papers

TitleStatusHype
Zero-Shot Recognition via Optimal Transport—0
A Prototype-Based Generalized Zero-Shot Learning Framework for Hand Gesture Recognition—0
A Simple Approach for Zero-Shot Learning based on Triplet Distribution Embeddings—0
Audio-visual Generalized Zero-shot Learning the Easy Way—0
A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning—0
AVGZSLNet: Audio-Visual Generalized Zero-Shot Learning by Reconstructing Label Features from Multi-Modal Embeddings—0
Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning—0
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification—0
CLASTER: Clustering with Reinforcement Learning for Zero-Shot Action Recognition—0
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning—0
Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification—0
Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning—0
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning—0
Discriminative Embedding Autoencoder with a Regressor Feedback for Zero-Shot Learning—0
Distinguishing Unseen From Seen for Generalized Zero-Shot Learning—0
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning—0
Domain segmentation and adjustment for generalized zero-shot learning—0
Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning—0
Dual Progressive Prototype Network for Generalized Zero-Shot Learning—0
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning—0
En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning—0
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning—0
Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning—0
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models—0
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning—0
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning—0
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning—0
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects—0
Model Selection for Generalized Zero-shot Learning—0
Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning—0
Multi-modal Ensemble Classification for Generalized Zero Shot Learning—0
Multimodal Generalized Zero Shot Learning for Gleason Grading using Self-Supervised Learning—0
Multiple-Input Multiple-Output Fusion Network For Generalized Zero-Shot Learning—0
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis—0
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
Targeted Attention for Generalized- and 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
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