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A Lightweight YOLOv2

Year: 2018

Type: conference-paper

Source: ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA)

DOI: 10.1145/3174243.3174266

Authors: Hiroki Nakahara, Haruyoshi Yonekawa, Tomoya Fujii, Shimpei Sato

Institution: Tokyo Institute of Technology

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Nvidia, Japan Society for the Promotion of Science

OpenAlex ID: W2790167166

FWCI: 5.842

Cites: 32

Cited by: 139

Related to: 10