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cs.CV2023
A differentiable Gaussian Prototype Layer for explainable Segmentation
Michael Gerstenberger, Steffen Maaß, Peter Eisert +1
We introduce a Gaussian Prototype Layer for gradient-based prototype learning and demonstrate two novel network architectures for explainable segmentation one of which relies on re…
cs.CV2021
Curiously Effective Features for Image Quality Prediction
Sören Becker, Thomas Wiegand, Sebastian Bosse
The performance of visual quality prediction models is commonly assumed to be closely tied to their ability to capture perceptually relevant image aspects. Models are thus either b…