ScholarGate
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Machine learningDeep learning / NLP / CV

Objektituvastus

Objektituvastus on arvutinägemise ülesanne, milles sügav närvivõrk samaaegselt lokaliseerib ja klassifitseerib iga objekti eksemplari ühes või mitmes objektikategoorias pildil, genereerides iga tuvastatud objekti jaoks piirdekasti ja klassisildi. Kaasaegsed detektorid – alates R-CNN perekonnast kuni YOLO ja DETR-ini – saavutavad standardsetel võrdlusalustel reaalajas peaaegu inimtaseme täpsuse.

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Allikad

  1. Girshick, R., Donahue, J., Darrell, T., & Malik, J. (2014). Rich feature hierarchies for accurate object detection and semantic segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 580–587. DOI: 10.1109/CVPR.2014.81
  2. Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016). You Only Look Once: Unified, Real-Time Object Detection. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 779–788. DOI: 10.1109/CVPR.2016.91

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Object Detection (Region-Based and Anchor-Free Deep Neural Network Models). ScholarGate. https://scholargate.app/et/deep-learning/object-detection

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Sellele viitavad

ScholarGateObject Detection (Object Detection (Region-Based and Anchor-Free Deep Neural Network Models)). Loetud 2026-06-15 aadressilt https://scholargate.app/et/deep-learning/object-detection · Andmestik: https://doi.org/10.5281/zenodo.20539026