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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
LEGO-Learn: Label-Efficient Graph Open-Set LearningCode0
Open World Object Detection: A SurveyCode2
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
Open-set recognition with long-tail sonar imagesCode1
Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and BenchmarksCode1
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
Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting—0
Know Yourself Better: Diverse Discriminative Feature Learning Improves Open Set Recognition—0
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey—0
Open-Set Recognition in the Age of Vision-Language ModelsCode0
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