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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 1–50 of 161 papers

TitleStatusHype
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
Leveraging Foundation Models for Zero-Shot IoT SensingCode1
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
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal ModelsCode1
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
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class NamesCode1
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
Dual Feature Augmentation Network for Generalized Zero-shot LearningCode1
Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning—0
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning—0
Zero-Shot Learning by Harnessing Adversarial SamplesCode0
Improving Zero-Shot Generalization for CLIP with Synthesized PromptsCode1
Synthetic Sample Selection for Generalized Zero-Shot Learning—0
Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot LearningCode1
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery—0
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning—0
Learning Generalized Zero-Shot Learners for Open-Domain Image GeolocalizationCode0
Evolutionary Generalized Zero-Shot LearningCode0
On the Transferability of Visual Features in Generalized Zero-Shot LearningCode0
Targeted Attention for Generalized- and Zero-Shot Learning—0
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning—0
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification—0
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning—0
GSMFlow: Generation Shifts Mitigating Flow for Generalized Zero-Shot Learning—0
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot LearningCode0
Recognition of Unseen Bird Species by Learning from Field GuidesCode0
Learn to Adapt for Generalized Zero-Shot Text ClassificationCode1
Zero-Shot Logit AdjustmentCode1
Deconstructed Generation-Based Zero-Shot ModelCode0
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification—0
Unseen Classes at a Later Time? No ProblemCode1
Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector—0
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis—0
A Gating Model for Bias Calibration in Generalized Zero-shot LearningCode0
Cluster-based Contrastive Disentangling for Generalized Zero-Shot Learning—0
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