unseen class

Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning WACV 2025 Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model ICLR 2025 COMMA: Co-articulated Multi-Modal Learning AAAI 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 Visual-Augmented Dynamic Semantic Prototype for Generative Zero-Shot Learning CVPR 2024 Continual Zero-Shot Learning through Semantically Guided Generative Random Walks ICCV 2023 Deconstructed Generation-Based Zero-Shot Model AAAI 2023 Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023 Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation AAAI 2022 Distinguishing Unseen From Seen for Generalized Zero-Shot Learning CVPR 2022 Robust Region Feature Synthesizer for Zero-Shot Object Detection CVPR 2022 Robust Semi-Supervised Learning when Not All Classes have Labels NeurIPS 2022 Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data 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