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Machine learningDeep learning / NLP / CV

Objašnjiva segmentacija instanci

Objašnjiva segmentacija instanci kombinira modele dubokog učenja za segmentaciju instanci — koji detektiraju i razgraničavaju svaki pojedinačni objekt kao zasebnu pikselnu masku — s post-hoc ili ante-hoc tehnikama objašnjivosti kao što su GradCAM, SHAP, LIME ili vizualizacija pažnje, tako da je svaka predviđena maska popraćena dokazima koji pokazuju koje su regije slike potaknule odluku modela.

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Izvori

  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

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Explainable Instance Segmentation (XAI-augmented Mask Detection). ScholarGate. https://scholargate.app/hr/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)). Preuzeto 2026-06-15 s https://scholargate.app/hr/deep-learning/explainable-instance-segmentation · Skup podataka: https://doi.org/10.5281/zenodo.20539026