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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 26–50 of 267 papers

TitleStatusHype
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future ChallengesCode1
GlanceNets: Interpretabile, Leak-proof Concept-based ModelsCode1
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background PriorsCode1
Glocal Energy-based Learning for Few-Shot Open-Set RecognitionCode1
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity RecognitionCode1
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting SystemsCode1
Difficulty-Aware Simulator for Open Set RecognitionCode1
Class Anchor Clustering: a Loss for Distance-based Open Set RecognitionCode1
Adversarial Motorial Prototype Framework for Open Set RecognitionCode1
Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and BenchmarksCode1
Domain Adaptive Few-Shot Open-Set LearningCode1
Learning Bounds for Open-Set LearningCode1
Adversarial Reciprocal Points Learning for Open Set RecognitionCode1
Evidential Deep Learning for Open Set Action RecognitionCode1
Conditional Gaussian Distribution Learning for Open Set RecognitionCode1
Conditional Variational Capsule Network for Open Set RecognitionCode1
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous DrivingCode1
Counterfactual Zero-Shot and Open-Set Visual RecognitionCode1
OpenGAN: Open-Set Recognition via Open Data GenerationCode1
Large-Scale Long-Tailed Recognition in an Open WorldCode1
Fully Convolutional Open Set SegmentationCode1
Maximum Class Separation as Inductive Bias in One MatrixCode1
Open-Set Automatic Target RecognitionCode1
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