research
∙
07/10/2023
Preventing Errors in Person Detection: A Part-Based Self-Monitoring Framework
The ability to detect learned objects regardless of their appearance is ...
share
research
∙
03/27/2023
Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection
As the use of machine learning continues to expand, the importance of en...
research
∙
11/22/2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models
Explaining black-box Artificial Intelligence (AI) models is a cornerston...
research
∙
03/16/2022
Is it all a cluster game? – Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space
It is essential for safety-critical applications of deep neural networks...
research
∙
07/19/2021
OODformer: Out-Of-Distribution Detection Transformer
A serious problem in image classification is that a trained model might ...
research
∙
01/08/2021
