23 citations · 25 across the 5 of their papers we have counts for
3 papers · 1 filter
Frequency-Based Vulnerability Analysis of Deep Learning Models against Image Corruptions
Harshitha Machiraju, Michael H. Herzog, Pascal Frossard
Deep learning models often face challenges when handling real-world image corruptions. In response, researchers have developed image corruption datasets to evaluate the performance…
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition
Harshitha Machiraju, Oh-Hyeon Choung, Michael H. Herzog +1
Deep convolutional neural networks (DCNNs) have revolutionized computer vision and are often advocated as good models of the human visual system. However, there are currently many…
Bio-inspired Robustness: A Review
Harshitha Machiraju, Oh-Hyeon Choung, Pascal Frossard +1
Deep convolutional neural networks (DCNNs) have revolutionized computer vision and are often advocated as good models of the human visual system. However, there are currently many…