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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
Driver Anomaly Detection: A Dataset and Contrastive Learning ApproachCode1
Open-set Adversarial DefenseCode1
GDumb: A Simple Approach that Questions Our Progress in Continual LearningCode1
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite ImageryCode1
Fully Convolutional Open Set SegmentationCode1
Few-Shot Open-Set Recognition using Meta-LearningCode1
Class Anchor Clustering: a Loss for Distance-based Open Set RecognitionCode1
Conditional Gaussian Distribution Learning for Open Set RecognitionCode1
Large-Scale Long-Tailed Recognition in an Open WorldCode1
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence AlignmentCode0
Disentangled representations of microscopy imagesCode0
SASep: Saliency-Aware Structured Separation of Geometry and Feature for Open Set Learning on Point CloudsCode0
Hyperbolic Dual Feature Augmentation for Open-Environment—0
Open-Set Semi-Supervised Learning for Long-Tailed Medical DatasetsCode0
Structure-based Anomaly Detection and Clustering—0
Informed Mixing -- Improving Open Set Recognition via Attribution-based Augmentation—0
Malware families discovery via Open-Set Recognition on Android manifest permissions—0
Synthetic Non-stationary Data Streams for Recognition of the UnknownCode0
Open-Set Plankton Recognition—0
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning ModelsCode0
Open-Set Recognition of Novel Species in Biodiversity Monitoring—0
G-OSR: A Comprehensive Benchmark for Graph Open-Set Recognition—0
A Survey of Text Classification Under Class Distribution ShiftCode0
Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data—0
Cross-Rejective Open-Set SAR Image RegistrationCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
Robustness-enhanced Myoelectric Control with GAN-based Open-set RecognitionCode0
Unlocking Transfer Learning for Open-World Few-Shot Recognition—0
Feature-Space Semantic Invariance: Enhanced OOD Detection for Open-Set Domain Generalization—0
Electromagnetic Scattering Kernel Guided Reciprocal Point Learning for SAR Open-Set Recognition—0
Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin ApproachCode0
Data-Driven Hierarchical Open Set Recognition—0
LEGO-Learn: Label-Efficient Graph Open-Set LearningCode0
FSOS-AMC: Few-Shot Open-Set Learning for Automatic Modulation Classification—0
Solution for OOD-CV Workshop SSB Challenge 2024 (Open-Set Recognition Track)—0
Effects of Common Regularization Techniques on Open-Set Recognition—0
Gallery-Aware Uncertainty Estimation For Open-Set Face Recognition—0
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set RecognitionCode0
Advanced Vision Transformers and Open-Set Learning for Robust Mosquito Classification: A Novel Approach to Entomological Studies—0
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier LogitsCode0
Comparison of Embedded Spaces for Deep Learning Classification—0
Open Set Recognition for Random Forest—0
Towards Open-Set Myoelectric Gesture Recognition via Dual-Perspective Inconsistency Learning—0
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV—0
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning—0
Large-Scale Evaluation of Open-Set Image Classification TechniquesCode0
Cascading Unknown Detection with Known Classification for Open Set Recognition—0
Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detection—0
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition—0
Dynamic Against Dynamic: An Open-set Self-learning FrameworkCode0
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