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304 - Class Anchor Clustering: A Loss for Distance-based Open Set Recognition

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304 - Class Anchor Clustering: A Loss for Distance-based Open Set Recognition
Dr. Walter Scheirer: 'Statistical Methods for Open Set Recognition'
Evaluating Uncertainty Calibration for Open-Set Recognition
CONF-SPML 2022 – CNN-Based Audio Recognition in Open-set Domain
Generative-Discriminative Feature Representations for Open-Set Recognition
Multi-Class Open Set Recognition using Probability of Inclusion
Enlarging Instance-Specific and Class-Specific Information for Open-Set Action Recognition CVPR2023
Open-Set Likelihood Maximization for Few-Shot Learning (CVPR 2023)
[CVPR2023] Open Set Action Recognition via Multi-Label Evidential Learning
Open World Evaluation
Few-Shot Open-Set Recognition Using Meta-Learning
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration
Statistical Methods for Open Source Recognition
Reconstructing Humpty Dumpty: Multi-feature Graph Autoencoder for Open Set Action Recognition
[ICCV 2021 Workshop] Moving Object Detection for Event-based vision using Graph Spectral Clustering
Computer Vision terminologies - Anchor Box
KDD 2023 - Open-Set Semi-Supervised Text Classification with Latent Outlier Softening
Difficulty-Aware Simulator for Open Set Recognition (ECCV 2022)
Conditional Gaussian Distribution Learning for Open Set Recognition
Large-Scale Open-Set Classification Protocols for ImageNet
Introduction to the Open Set Recognition Problem
Summary Paper: Towards Open Set Deep Networks - OpenMax
[ICIP2021] Open-Set Recognition with Gradient-Based Representations
Statistical Methods for Open Source Set Recognition
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