unknown class detection

Semi-Supervised Hierarchical Open-Set Classification WACV 2026 UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets WACV 2026 GHOST: Gaussian Hypothesis Open-Set Technique AAAI 2025 Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space AAAI 2025 Dynamic against Dynamic: An Open-Set Self-Learning Framework IJCAI 2024 Frequency Shuffling and Enhancement for Open Set Recognition AAAI 2024 Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge AAAI 2024 Open-Set Domain Adaptation for Semantic Segmentation CVPR 2024 Open-Set Object Detection by Aligning Known Class Representations WACV 2024 OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning NeurIPS 2024 Revisiting Open-Set Panoptic Segmentation AAAI 2024 UMB: Understanding Model Behavior for Open-World Object Detection NeurIPS 2024 Activate and Reject: Towards Safe Domain Generalization under Category Shift ICCV 2023 CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NeurIPS 2023 FedPD: Federated Open Set Recognition with Parameter Disentanglement ICCV 2023 G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns IJCAI 2023 Object Detection in Real Open Environment IJCAI 2023 Semi-Supervised Domain Generalization with Known and Unknown Classes NeurIPS 2023 Expanding Low-Density Latent Regions for Open-Set Object Detection CVPR 2022 Learngene: From Open-World to Your Learning Task AAAI 2022 PMAL: Open Set Recognition via Robust Prototype Mining AAAI 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation NeurIPS 2022 Divergence Optimization for Noisy Universal Domain Adaptation CVPR 2021 Few-Shot Open-Set Recognition by Transformation Consistency CVPR 2021 Learning Bounds for Open-Set Learning ICML 2021