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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 101–150 of 267 papers

TitleStatusHype
Simple Domain Generalization Methods are Strong Baselines for Open Domain GeneralizationCode0
On the link between generative semi-supervised learning and generative open-set recognition—0
Progressive Open Space Expansion for Open-Set Model AttributionCode1
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios—0
Open-World Object Detection via Discriminative Class Prototype Learning—0
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery—0
The Devil is in the Wrongly-classified Samples: Towards Unified Open-set RecognitionCode1
Improving Open-Set Semi-Supervised Learning with Self-SupervisionCode0
Contracting Skeletal Kinematics for Human-Related Video Anomaly DetectionCode0
Open-Set Likelihood Maximization for Few-Shot LearningCode1
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition—0
Vocabulary-informed Zero-shot and Open-set LearningCode0
FedPD: Federated Open Set Recognition with Parameter Disentanglement—0
Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization—0
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces—0
Accurate Open-set Recognition for Memory WorkloadCode0
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition—0
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration—0
PartCom: Part Composition Learning for 3D Open-Set Recognition—0
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identificationCode0
Open-Set Automatic Target RecognitionCode1
OpenAUC: Towards AUC-Oriented Open-Set RecognitionCode1
OpenOOD: Benchmarking Generalized Out-of-Distribution DetectionCode0
Feature Decoupling in Self-supervised Representation Learning for Open Set Recognition—0
Understanding Open-Set Recognition by Jacobian Norm and Inter-Class Separation—0
Open Set Recognition For Music Genre Classification—0
Measuring Human Perception to Improve Open Set Recognition—0
Deep Open-Set Recognition for Silicon Wafer Production Monitoring—0
FedOS: using open-set learning to stabilize training in federated learningCode0
Open Long-Tailed Recognition in a Dynamic World—0
Multi-Attribute Open Set RecognitionCode0
Eight Years of Face Recognition Research: Reproducibility, Achievements and Open Issues—0
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point CloudsCode0
Towards Accurate Open-Set Recognition via Background-Class Regularization—0
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation—0
Difficulty-Aware Simulator for Open Set RecognitionCode1
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry—0
Few-shot Open-set Recognition Using Background as Unknowns—0
Plex: Towards Reliability using Pretrained Large Model ExtensionsCode0
Orthogonal-Coding-Based Feature Generation for Transductive Open-Set Recognition via Dual-Space Consistent Sampling—0
Know Your Space: Inlier and Outlier Construction for Calibrating Medical OOD Detectors—0
DenseHybrid: Hybrid Anomaly Detection for Dense Open-set RecognitionCode1
Class-Specific Semantic Reconstruction for Open Set Recognition—0
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting—0
Test Time Transform Prediction for Open Set Histopathological Image RecognitionCode0
Model-Agnostic Few-Shot Open-Set RecognitionCode1
Maximum Class Separation as Inductive Bias in One MatrixCode1
Open-Set Recognition with Gradient-Based Representations—0
OOD Augmentation May Be at Odds with Open-Set Recognition—0
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
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