[1910.01271] YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection

Object detection remains an active area of research in the field of computer vision, and considerable advances and successes has been achieved in this area through the design of deep convolutional neural networks for tackling object detection. Despite these successes, one of the biggest challenges to widespread deployment of such object detection networks on edge and mobile scenarios is the high computational and memory requirements. As such, there has been growing research interest in the design of efficient deep neural network architectures catered for edge and mobile usage. In this study, we introduce YOLO Nano, a highly compact deep convolutional neural network for the task of object detection. A human-machine collaborative design strategy is leveraged to create YOLO Nano, where principled network design prototyping, based on design principles from the YOLO family of single-shot object detection network architectures, is coupled with machine-driven design exploration to create a co

1 mentions: @m__sb04
Keywords: yolo
Date: 2019/10/31 00:51

Referring Tweets

@m__sb04 YOLO Nano、4MBでTiny YOLOv2/v3よりもモデルサイズが小さいのにパフォーマンス(精度)も良いという。どんどん軽量化が進むな... > YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection t.co/8VzSh7uGD4 t.co/nbgOHpLcza

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