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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
A Unified Benchmark for the Unknown Detection Capability of Deep Neural NetworksCode1
Open Set Recognition using Vision Transformer with an Additional Detection HeadCode1
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future ChallengesCode1
Open-set recognition with long-tail sonar imagesCode1
Counterfactual Zero-Shot and Open-Set Visual RecognitionCode1
Exploring Diverse Representations for Open Set RecognitionCode1
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background PriorsCode1
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite ImageryCode1
Disentangled representations of microscopy imagesCode0
Simple Domain Generalization Methods are Strong Baselines for Open Domain GeneralizationCode0
Robustness-enhanced Myoelectric Control with GAN-based Open-set RecognitionCode0
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point CloudsCode0
Dense open-set recognition with synthetic outliers generated by Real NVPCode0
Pairwise Similarity Learning is SimPLECode0
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier LogitsCode0
Plex: Towards Reliability using Pretrained Large Model ExtensionsCode0
Sparse Representation-based Open Set RecognitionCode0
Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin ApproachCode0
Open-Set Recognition in the Age of Vision-Language ModelsCode0
Open-Set Semi-Supervised Learning for Long-Tailed Medical DatasetsCode0
Deep CNN-based Multi-task Learning for Open-Set RecognitionCode0
Deep Active Learning via Open Set RecognitionCode0
Open-Set Face Recognition with Maximal Entropy and Objectosphere LossCode0
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence AlignmentCode0
Open-set Face Recognition with Neural Ensemble, Maximal Entropy Loss and Feature AugmentationCode0
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic ScenariosCode0
OpenMix+: Revisiting Data Augmentation for Open Set RecognitionCode0
A Survey of Text Classification Under Class Distribution ShiftCode0
OpenOOD: Benchmarking Generalized Out-of-Distribution DetectionCode0
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental LearningCode0
Contracting Skeletal Kinematics for Human-Related Video Anomaly DetectionCode0
Accurate Open-set Recognition for Memory WorkloadCode0
Opening Deep Neural Networks with Generative ModelsCode0
FedOS: using open-set learning to stabilize training in federated learningCode0
AP18-OLR Challenge: Three Tasks and Their BaselinesCode0
Multi-Attribute Open Set RecognitionCode0
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial NetworksCode0
Exploring the Open World Using Incremental Extreme Value MachinesCode0
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set ScenarioCode0
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set RecognitionCode0
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic EnvironmentsCode0
Cross-Rejective Open-Set SAR Image RegistrationCode0
LEGO-Learn: Label-Efficient Graph Open-Set LearningCode0
Classification-Reconstruction Learning for Open-Set RecognitionCode0
Learning a Neural-network-based Representation for Open Set RecognitionCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
Dynamic Against Dynamic: An Open-set Self-learning FrameworkCode0
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identificationCode0
Domain Consensus Clustering for Universal Domain AdaptationCode0
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