SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 161 papers

TitleStatusHype
Domain-aware Visual Bias Eliminating for Generalized Zero-Shot LearningCode1
Latent Embedding Feedback and Discriminative Features for Zero-Shot ClassificationCode1
Transductive Zero-Shot Learning for 3D Point Cloud ClassificationCode1
Feature Generating Networks for Zero-Shot LearningCode1
Visual and Semantic Prompt Collaboration for Generalized Zero-Shot Learning—0
Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning—0
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation—0
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning—0
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning—0
Out-Of-Distribution Detection for Audio-visual Generalized Zero-Shot Learning: A General FrameworkCode0
Audio-visual Generalized Zero-shot Learning the Easy Way—0
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned RepresentationCode0
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models—0
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification—0
Dual Expert Distillation Network for Generalized Zero-Shot LearningCode0
`Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning—0
High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning—0
Less but Better: Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM SemanticsCode0
Data Distribution Distilled Generative Model for Generalized Zero-Shot RecognitionCode0
Data-Free Generalized Zero-Shot LearningCode0
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning—0
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning—0
Attribute-Aware Representation Rectification for Generalized Zero-Shot LearningCode0
Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning—0
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning—0
Show:102550
← PrevPage 2 of 7Next →

No leaderboard results yet.