most citedRobust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data

14 citations · 14 across the 2 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2023

Saliency-Driven Hierarchical Learned Image Coding for Machines

Kristian Fischer, Fabian Brand, Christian Blum +1

We propose to employ a saliency-driven hierarchical neural image compression network for a machine-to-machine communication scenario following the compress-then-analyze paradigm. B…

eess.IV2022★ 14 cited

Robust Deep Neural Object Detection and Segmentation for Automotive Driving Scenario with Compressed Image Data

Kristian Fischer, Christian Blum, Christian Herglotz +1

Deep neural object detection or segmentation networks are commonly trained with pristine, uncompressed data. However, in practical applications the input images are usually deterio…