FRDet: Balanced and Lightweight Object Detector based on Fire-Residual Modules for Embedded Processor of Autonomous Driving

16 November 2020

Papers citing "FRDet: Balanced and Lightweight Object Detector based on Fire-Residual Modules for Embedded Processor of Autonomous Driving"

1 / 1 papers shown

Title
Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System Issac Sim Junho Lim Young-Wan Jang Jihwan You Seontaek Oh Young-Keun Kim 23 7 0 01 Aug 2021