research
∙
11/28/2022
Class Adaptive Network Calibration
Recent studies have revealed that, beyond conventional accuracy, calibra...
share
research
∙
06/14/2022
Proximal Splitting Adversarial Attacks for Semantic Segmentation
Classification has been the focal point of research on adversarial attac...
research
∙
06/23/2021
Mutual-Information Based Few-Shot Classification
We introduce Transductive Infomation Maximization (TIM) for few-shot lea...
research
∙
08/25/2020
Transductive Information Maximization For Few-Shot Learning
We introduce Transductive Infomation Maximization (TIM) for few-shot lea...
research
∙
09/08/2019
Deep weakly-supervised learning methods for classification and localization in histology images: a survey
Using state-of-the-art deep learning models for the computer-assisted di...
research
∙
08/08/2019
Universal Adversarial Audio Perturbations
We demonstrate the existence of universal adversarial perturbations, whi...
research
∙
07/25/2019
Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework
Weakly supervised object localization (WSOL) models aim to locate object...
research
∙
11/23/2018
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Research on adversarial examples in computer vision tasks has shown that...
research
∙
05/28/2018
