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SEMEDA: Enhancing segmentation precision with semantic edge aware loss

Yifu Chen, Arnaud Dapogny, Matthieu Cord

2020Pattern Recognition32 citationsDOIOpen Access PDF

Topics & Concepts

Ground truthSegmentationComputer scienceArtificial intelligenceFigure–groundEmbeddingPixelMatching (statistics)Entropy (arrow of time)Cross entropyPattern recognition (psychology)Enhanced Data Rates for GSM EvolutionImage segmentationComputer visionPerceptionMathematicsStatisticsNeurosciencePhysicsQuantum mechanicsBiologyAdvanced Neural Network ApplicationsMedical Image Segmentation TechniquesImage Processing Techniques and Applications
SEMEDA: Enhancing segmentation precision with semantic edge aware loss | Litcius