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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 101–125 of 267 papers

TitleStatusHype
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
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning—0
Taking Class Imbalance Into Account in Open Set Recognition Evaluation—0
All Beings Are Equal in Open Set Recognition—0
Open-Set Facial Expression Recognition—0
From Coarse to Fine-Grained Open-Set Recognition—0
A Survey on Open-Set Image Recognition—0
Class Information Guided Reconstruction for Automatic Modulation Open-Set Recognition—0
Advancing Image Retrieval with Few-Shot Learning and Relevance FeedbackCode0
Managing the unknown: a survey on Open Set Recognition and tangential areas—0
Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning—0
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach—0
EdgeFM: Leveraging Foundation Model for Open-set Learning on the Edge—0
Familiarity-Based Open-Set Recognition Under Adversarial Attacks—0
Analysis and Applications of Deep Learning with Finite Samples in Full Life-Cycle Intelligence of Nuclear Power Generation—0
Open-Set Object Recognition Using Mechanical Properties During Interaction—0
Open-Set Face Recognition with Maximal Entropy and Objectosphere LossCode0
MENTOR: Human Perception-Guided Pretraining for Increased Generalization—0
Pairwise Similarity Learning is SimPLECode0
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental LearningCode0
Recursive Counterfactual Deconfounding for Object Recognition—0
Latent Space Energy-based Model for Fine-grained Open Set Recognition—0
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