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논문 원본 링크 : https://arxiv.org/abs/1612.08242 YOLO9000: Better, Faster, Stronger We introduce YOLO9000, a state-of-the-art, real-time object detection system that can detect over 9000 object categories. First we propose various improvements to the YOLO detection method, both novel and drawn from prior work. The improved model, YOLOv2, arxiv.org YOLO9000: Better, Faster, Stronger Abstract 논문 이름이 YO..

Object Detection 분야의 대표적인 알고리즘 YOLO의 시초인 v1 논문을 정리해보자. 논문 원본 링크 : https://arxiv.org/abs/1506.02640 You Only Look Once: Unified, Real-Time Object Detection We present YOLO, a new approach to object detection. Prior work on object detection repurposes classifiers to perform detection. Instead, we frame object detection as a regression problem to spatially separated bounding boxes and associated cl..