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unseen class
unseen class
17 papers
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zero-shot learning
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generative model
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semantic embedding
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transfer learning
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semi-supervised learning
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generalized zero-shot learning
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semantic alignment
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Papers
Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning
WACV 2025
COMMA: Co-articulated Multi-Modal Learning
AAAI 2024
Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning
CVPR 2024
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
CVPR 2024
Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
AAAI 2024
Deconstructed Generation-Based Zero-Shot Model
AAAI 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning
ICML 2023
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks
ICCV 2023
Distinguishing Unseen From Seen for Generalized Zero-Shot Learning
CVPR 2022
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation
AAAI 2022
Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data
CVPR 2022
Robust Semi-Supervised Learning when Not All Classes have Labels
NIPS 2022
Robust Region Feature Synthesizer for Zero-Shot Object Detection
CVPR 2022
Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation
ICCV 2021
Boosted Zero-Shot Learning with Semantic Correlation Regularization
IJCAI 2017
Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths
CVPR 2017
Zero-Shot Learning via Semantic Similarity Embedding
ICCV 2015
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