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07/18/2023
DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation
Mixed sample data augmentation (MSDA) is a widely used technique that ha...
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04/10/2023
Reinforcement Learning-Based Black-Box Model Inversion Attacks
Model inversion attacks are a type of privacy attack that reconstructs p...
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12/01/2022
Noisy Label Classification using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning
As the size of the dataset used in deep learning tasks increases, the no...
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12/01/2022
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification
Uncertainty estimation of the trained deep learning network provides imp...
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12/09/2021
Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning
With the development of 3D scanning technologies, 3D vision tasks have b...
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11/02/2020