YOLO (You Only Look Once)
YOLO (You Only Look Once) ni kipimaji cha vitu cha kidhibiti mchanganyiko cha moja kwa moja, kutoka mwisho hadi mwisho kilichoanzishwa na Redmon, Divvala, Girshick, na Farhadi katika CVPR 2016. Kinabadilisha upimaji wa vitu kuwa tatizo moja la kurudi nyuma — kutabiri uratibu wa kisanduku cha mipaka na uwezekano wa darasa moja kwa moja kutoka kwenye picha katika pasi moja ya mbele — kufikia kasi ya upimaji wa wakati halisi ambayo mbinu za awali za hatua mbili kama R-CNN hazingeweza kufikia. Makala asili ilizaa familia ya warithi waliopitishwa sana (YOLOv2 hadi v11) ambayo inaendelea kutawala vipimo vya upimaji wa vitu vilivyotumika.
Soma mbinu kamili
Ingia kwa akaunti ya bure ili kusoma sehemu hii.
Method map
The neighbourhood of related methods — select a node to explore.
Vyanzo
- 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 ↗
- Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press. ISBN: 978-0-262-03561-3
Jinsi ya kunukuu ukurasa huu
ScholarGate. (2026, June 3). YOLO: You Only Look Once — Unified, Real-Time Object Detection. ScholarGate. https://scholargate.app/sw/deep-learning/yolo
Which method?
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.
- ResNet (Mtandao wa Mabaki)Ujifunzaji wa Kina↔ compare
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