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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 51–75 of 267 papers

TitleStatusHype
A Unified Benchmark for the Unknown Detection Capability of Deep Neural NetworksCode1
Maximum Class Separation as Inductive Bias in One MatrixCode1
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future ChallengesCode1
Progressive Open Space Expansion for Open-Set Model AttributionCode1
Navigating Open Set Scenarios for Skeleton-based Action RecognitionCode1
Few-Shot Open-Set Learning for On-Device Customization of KeyWord Spotting SystemsCode1
Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution ShiftsCode1
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background PriorsCode1
OneRing: A Simple Method for Source-free Open-partial Domain AdaptationCode1
Disentangled representations of microscopy imagesCode0
OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental LearningCode0
Dense open-set recognition with synthetic outliers generated by Real NVPCode0
Multi-Attribute Open Set RecognitionCode0
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier LogitsCode0
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial NetworksCode0
Opening Deep Neural Networks with Generative ModelsCode0
Deep Learning for Leopard Individual Identification: An Adaptive Angular Margin ApproachCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
LEGO-Learn: Label-Efficient Graph Open-Set LearningCode0
MMF: A loss extension for feature learning in open set recognitionCode0
Deep CNN-based Multi-task Learning for Open-Set RecognitionCode0
Deep Active Learning via Open Set RecognitionCode0
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence AlignmentCode0
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set RecognitionCode0
OpenMix+: Revisiting Data Augmentation for Open Set RecognitionCode0
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