research
∙
01/31/2022
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
We present an approach to quantifying both aleatoric and epistemic uncer...
research
∙
05/14/2020
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
When deploying deep learning technology in self-driving cars, deep neura...
research
∙
03/26/2019
Exploring Confidence Measures for Word Spotting in Heterogeneous Datasets
In recent years, convolutional neural networks (CNNs) took over the fiel...
research
∙
05/22/2018