Search Results for author:
Found 3 papers, 2 papers with code
CLAD: A Contrastive Learning based Approach for Background Debiasing
Convolutional neural networks (CNNs) have achieved superhuman performance in multiple vision tasks, especially image classification.
Empirical Advocacy of Bio-inspired Models for Robust Image Recognition
There are continuous attempts to use features of the human visual system to improve the robustness of neural networks to data perturbations.
Bio-inspired Robustness: A Review
Many studies have tried to add features of the human visual system to DCNNs to make them robust against adversarial attacks.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
