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[논문 리뷰/요약]Fast R-CNN

Fast R-CNN This paper proposes a Fast Region-based Convolutional Network method (Fast R-CNN) for object detection. Fast R-CNN builds on previous work to efficiently classify object proposals using deep convolutional networks. Compared to previous work, Fast R-CNN emp arxiv.org Abstract Fast R-CNN(Region-based)은 R-CNN에 비해 VGG16을 9배 빠르게 훈련시키고, test time은 213배 더 빠르다. PASCAL VOC 2012에서 높은 mAP 성능을 달성..
Paper 2024. 2. 9. 21:03
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