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08/25/2023
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation
The task of semantic segmentation requires a model to assign semantic la...
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04/24/2023
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving
Deep neural networks (DNNs) have proven their capabilities in many areas...
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06/01/2022
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models
The emergence of data-driven machine learning (ML) has facilitated signi...
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01/08/2022
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network
Reconfigurable intelligent surface (RIS) is an emerging technology for f...
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02/11/2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches
Automated driving has become a major topic of interest not only in the a...
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11/17/2020
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations
In this paper we present a solution to the task of "unsupervised domain ...
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07/16/2020
openDD: A Large-Scale Roundabout Drone Dataset
Analyzing and predicting the traffic scene around the ego vehicle has be...
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07/14/2020
