A Tri-State Weight Convolutional Neural Network for an FPGA: Applied to YOLOv2 Object Detector - researchr publication

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Hiroki Nakahara, Masayuki Shimoda, Shimpei Sato. A Tri-State Weight Convolutional Neural Network for an FPGA: Applied to YOLOv2 Object Detector. In International Conference on Field-Programmable Technology, FPT 2018, Naha, Okinawa, Japan, December 10-14, 2018. pages 298-301, IEEE, 2018. [doi]

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