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Machine learningDeep learning / NLP / CV

Forklarbar instanssegmentering

Forklarbar instanssegmentering kombinerer dyp-læringsmodeller for instanssegmentering — som detekterer og avgrenser hvert individuelle objekt som en separat pikselmaske — med post-hoc- eller ante-hoc-forklarbarhetsteknikker som GradCAM, SHAP, LIME eller oppmerksomhetsvisualisering, slik at hver predikerte maske ledsages av bevis som viser hvilke bildeområder som drev modellens beslutning.

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Method map

The neighbourhood of related methods — select a node to explore.

Kilder

  1. Lindner, M., Meng, C., & Bischl, B. (2023). Explaining Instance Segmentation Models via Saliency Maps and Occlusion. IEEE Transactions on Pattern Analysis and Machine Intelligence. link
  2. Instance segmentation. Wikipedia. link

Slik siterer du denne siden

ScholarGate. (2026, June 3). Explainable Instance Segmentation (XAI-augmented Mask Detection). ScholarGate. https://scholargate.app/no/deep-learning/explainable-instance-segmentation

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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ScholarGateExplainable Instance Segmentation (Explainable Instance Segmentation (XAI-augmented Mask Detection)). Hentet 2026-06-15 fra https://scholargate.app/no/deep-learning/explainable-instance-segmentation · Datasett: https://doi.org/10.5281/zenodo.20539026