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03/27/2023
How far generated data can impact Neural Networks performance?
The success of deep learning models depends on the size and quality of t...
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07/26/2021
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts
Synthetic corruptions gathered into a benchmark are frequently used to m...
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05/26/2021
Using the Overlapping Score to Improve Corruption Benchmarks
Neural Networks are sensitive to various corruptions that usually occur ...
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08/19/2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Despite their performance, Artificial Neural Networks are not reliable e...
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09/04/2019
Are Adversarial Robustness and Common Perturbation Robustness Independant Attributes ?
Neural Networks have been shown to be sensitive to common perturbations ...
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03/11/2019
ADS-ME: Anomaly Detection System for Micro-expression Spotting
Micro-expressions (MEs) are infrequent and uncontrollable facial events ...
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09/30/2018
Spontaneous Facial Expression Recognition using Sparse Representation
Facial expression is the most natural means for human beings to communic...
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09/30/2018