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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 51–75 of 267 papers

TitleStatusHype
A Unified Benchmark for the Unknown Detection Capability of Deep Neural NetworksCode1
Few-Shot Open-Set Recognition using Meta-LearningCode1
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future ChallengesCode1
Unified Classification and Rejection: A One-versus-All FrameworkCode1
Progressive Open Space Expansion for Open-Set Model AttributionCode1
Adversarial Motorial Prototype Framework for Open Set RecognitionCode1
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background PriorsCode1
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity RecognitionCode1
Breaking with Fixed Set Pathology Recognition through Report-Guided Contrastive Training—0
An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks—0
Detecting Unknown Attacks in IoT Environments: An Open Set Classifier for Enhanced Network Intrusion Detection—0
Dense outlier detection and open-set recognition based on training with noisy negative images—0
Boosting Deep Open World Recognition by Clustering—0
FSOS-AMC: Few-Shot Open-Set Learning for Automatic Modulation Classification—0
All Beings Are Equal in Open Set Recognition—0
Denoising Autoencoders for Overgeneralization in Neural Networks—0
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces—0
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning—0
Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies—0
Deep Open-Set Recognition for Silicon Wafer Production Monitoring—0
Alignment Based Mathching Networks for One-Shot Classification and Open-Set Recognition—0
Deep Learning Approaches for Open Set Wireless Transmitter Authorization—0
Deep Learning and Open Set Malware Classification: A Survey—0
Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition—0
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