ScholarGate
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Machine learningDeep learning / NLP / CV

Semantisk segmentering

Semantisk segmentering tildeler en klasselabel til hver piksel i et bilde, og produserer et tett, kategoriannotert kart over scenen. I motsetning til objektdeteksjon, som tegner avgrensningsbokser, avgrenser den den nøyaktige romlige utstrekningen av hver klasse, noe som gjør den uunnværlig i medisinsk bildebehandling, autonom kjøring, satellittanalyse og enhver oppgave der presise regiongrenser betyr noe.

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  1. Long, J., Shelhamer, E., & Darrell, T. (2015). Fully convolutional networks for semantic segmentation. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3431–3440. DOI: 10.1109/CVPR.2015.7298965
  2. Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2018). DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40(4), 834–848. DOI: 10.1109/TPAMI.2017.2699184

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ScholarGate. (2026, June 3). Semantic Segmentation (Dense Pixel-wise Classification). ScholarGate. https://scholargate.app/no/deep-learning/semantic-segmentation

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ScholarGateSemantic Segmentation (Semantic Segmentation (Dense Pixel-wise Classification)). Hentet 2026-06-15 fra https://scholargate.app/no/deep-learning/semantic-segmentation · Datasett: https://doi.org/10.5281/zenodo.20539026