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Generalized Zero-Shot Learning
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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.
논문
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Extremely Simple Out-of-distribution Detection for Audio-visual Generalized Zero-shot Learning
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning
RevCD -- Reversed Conditional Diffusion for Generalized Zero-Shot Learning
Out-Of-Distribution Detection for Audio-visual Generalized Zero-Shot Learning: A General Framework
Leveraging Foundation Models for Zero-Shot IoT Sensing
Audio-visual Generalized Zero-shot Learning the Easy Way
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representation
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification
Dual Expert Distillation Network for Generalized Zero-Shot Learning
`Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning
Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models
High-Discriminative Attribute Feature Learning for Generalized Zero-Shot Learning
Less but Better: Enabling Generalized Zero-shot Learning Towards Unseen Domains by Intrinsic Learning from Redundant LLM Semantics
Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition
Data-Free Generalized Zero-Shot Learning
SEER-ZSL: Semantic Encoder-Enhanced Representations for Generalized Zero-Shot Learning
Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning
Dual Feature Augmentation Network for Generalized Zero-shot Learning
Instance Adaptive Prototypical Contrastive Embedding for Generalized Zero Shot Learning
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning
Zero-Shot Learning by Harnessing Adversarial Samples
Improving Zero-Shot Generalization for CLIP with Synthesized Prompts
Synthetic Sample Selection for Generalized Zero-Shot Learning
Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery
Vision Transformer-based Feature Extraction for Generalized Zero-Shot Learning
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
Evolutionary Generalized Zero-Shot Learning
On the Transferability of Visual Features in Generalized Zero-Shot Learning
Targeted Attention for Generalized- and Zero-Shot Learning
Efficient Gaussian Process Model on Class-Imbalanced Datasets for Generalized Zero-Shot Learning
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification
LETS-GZSL: A Latent Embedding Model for Time Series Generalized Zero Shot Learning
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