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Open Set Learning

Traditional supervised learning aims to train a classifier in the closed-set world, where training and test samples share the same label space. Open set learning (OSL) is a more challenging and realistic setting, where there exist test samples from the classes that are unseen during training. Open set recognition (OSR) is the sub-task of detecting test samples which do not come from the training.

Papers

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Showing 51–100 of 267 papers

TitleStatusHype
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning—0
Taking Class Imbalance Into Account in Open Set Recognition Evaluation—0
All Beings Are Equal in Open Set Recognition—0
Open-Set Facial Expression Recognition—0
Exploring Diverse Representations for Open Set RecognitionCode1
From Coarse to Fine-Grained Open-Set Recognition—0
A Survey on Open-Set Image Recognition—0
Class Information Guided Reconstruction for Automatic Modulation Open-Set Recognition—0
Advancing Image Retrieval with Few-Shot Learning and Relevance FeedbackCode0
Managing the unknown: a survey on Open Set Recognition and tangential areas—0
Navigating Open Set Scenarios for Skeleton-based Action RecognitionCode1
Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning—0
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach—0
Unified Classification and Rejection: A One-versus-All FrameworkCode1
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge—0
Familiarity-Based Open-Set Recognition Under Adversarial Attacks—0
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation—0
Open-Set Object Recognition Using Mechanical Properties During Interaction—0
Open-Set Face Recognition with Maximal Entropy and Objectosphere LossCode0
MENTOR: Human Perception-Guided Pretraining for Increased Generalization—0
Open-Set Image Tagging with Multi-Grained Text SupervisionCode4
Pairwise Similarity Learning is SimPLECode0
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental LearningCode0
Recursive Counterfactual Deconfounding for Object Recognition—0
Domain Adaptive Few-Shot Open-Set LearningCode1
Latent Space Energy-based Model for Fine-grained Open Set Recognition—0
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection—0
LORD: Leveraging Open-Set Recognition with Unknown Data—0
Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature AugmentationCode0
An Entropy-Awareness Meta-Learning Method for SAR Open-Set ATR—0
OpenGCD: Assisting Open World Recognition with Generalized Category DiscoveryCode1
HomOpt: A Homotopy-Based Hyperparameter Optimization MethodCode1
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational PathologyCode1
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis—0
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open WorldsCode1
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis—0
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis—0
OpenNDD: Open Set Recognition for Neurodevelopmental Disorders Detection—0
Towards Open Vocabulary Learning: A SurveyCode2
Open-Set RF Fingerprinting via Improved Prototype Learning—0
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution ShiftsCode1
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting SystemsCode1
In or Out? Fixing ImageNet Out-of-Distribution Detection EvaluationCode1
Learning for Transductive Threshold Calibration in Open-World Recognition—0
torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in PythonCode1
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition—0
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set ScenarioCode0
Glocal Energy-based Learning for Few-Shot Open-Set RecognitionCode1
OpenMix+: Revisiting Data Augmentation for Open Set RecognitionCode0
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification—0
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