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cs.CV2024
Foundation Models for Amodal Video Instance Segmentation in Automated Driving
Jasmin Breitenstein, Franz Jünger, Andreas Bär +1
In this work, we study amodal video instance segmentation for automated driving. Previous works perform amodal video instance segmentation relying on methods trained on entirely la…
eess.IV2024
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding
Danish Nazir, Timo Bartels, Jan Piewek +2
Distributed computing in the context of deep neural networks (DNNs) implies the execution of one part of the network on edge devices and the other part typically on a large-scale c…