SOTAVerified|Agents Browse Leaderboard About

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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 161 papers

Title	Date	Tasks	Status	Hype	Score
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning	Mar 30, 2020	Generalized Zero-Shot LearningZero-Shot Learning	CodeCode Available	1	5
Feature Generating Networks for Zero-Shot Learning	Dec 4, 2017	Generalized Zero-Shot LearningGenerative Adversarial Network	CodeCode Available	1	5
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models	Apr 9, 2024	Audio ClassificationGeneralized Zero-Shot Learning	CodeCode Available	1	5
Contrastive Embedding for Generalized Zero-Shot Learning	Mar 30, 2021	Generalized Zero-Shot LearningZero-Shot Learning	CodeCode Available	1	5
Adaptive and Generative Zero-Shot Learning	Jan 1, 2021	Generalized Zero-Shot LearningZero-Shot Learning	CodeCode Available	1	5
Dual Feature Augmentation Network for Generalized Zero-shot Learning	Sep 25, 2023	AttributeDiversity	CodeCode Available	1	5
A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning	Aug 9, 2020	Generalized Zero-Shot LearningZero-Shot Learning	CodeCode Available	1	5
A Review of Generalized Zero-Shot Learning Methods	Nov 17, 2020	Generalized Zero-Shot LearningZero-Shot Learning	CodeCode Available	1	5
Bias-Eliminated Semantic Refinement for Any-Shot Learning	Feb 10, 2022	Few-Shot LearningGeneralized Zero-Shot Learning	CodeCode Available	1	5
FREE: Feature Refinement for Generalized Zero-Shot Learning	Jul 29, 2021	Generalized Zero-Shot LearningZero-Shot Learning	CodeCode Available	1	5

Show:10 25 50

← PrevPage 1 of 17Next →

No leaderboard results yet.