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Semantička segmentacija

Semantička segmentacija dodeljuje oznaku klase svakom pikselu na slici, proizvodeći gustu mapu scene sa anotacijama kategorija. Za razliku od detekcije objekata, koja iscrtava granične okvire, ona razgraničava tačan prostorni opseg svake klase, što je čini nezamenljivom u medicinskom snimanju, autonomnoj vožnji, satelitskoj analizi i svakom zadatku gde su precizne granice regiona važne.

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Izvori

  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/sr/deep-learning/semantic-segmentation

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ScholarGateSemantic Segmentation (Semantic Segmentation (Dense Pixel-wise Classification)). Preuzeto 2026-06-15 sa https://scholargate.app/sr/deep-learning/semantic-segmentation · Skup podataka: https://doi.org/10.5281/zenodo.20539026