Search Results for author: Elias Kassapis

Found 1 papers, 1 papers with code

Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

3 code implementations ICCV 2021 Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren

To this end, we propose a novel two-stage, cascaded approach for calibrated adversarial refinement: (i) a standard segmentation network is trained with categorical cross entropy to predict a pixelwise probability distribution over semantic classes and (ii) an adversarially trained stochastic network is used to model the inter-pixel correlations to refine the output of the first network into coherent samples.

Semantic Segmentation valid

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