1 citations · 1 across the 3 of their papers we have counts for
3 papers
Slimmable ConvNeXt: Width-Adaptive Inference for Efficient Multi-Device Deployment
Janek Haberer, Jon Eike Wilhelm, Olaf Landsiedel
Deploying vision models across devices with varying resource constraints, or even on a single device where available compute fluctuates due to battery state, thermal throttling, or…
SynVA: A Modular Toolkit for Vessel Generation and Aneurysm Editing
Marten J. Finck, Niklas C. Koser, Sarker M. Mahfuz +7
Intracranial aneurysms (IAs), characterized by unpredictable growth and risk of rupture, are a major cause of stroke and can lead to life-threatening hemorrhages with high mortalit…
Quantitative Analysis of Image Classification Techniques for Memory-Constrained Devices
Sebastian Müksch, Theo Olausson, John Wilhelm +1
Convolutional Neural Networks, or CNNs, are the state of the art for image classification, but typically come at the cost of a large memory footprint. This limits their usefulness…