3 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 3 cited
Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System
Issac Sim, Ju-Hyung Lim, Young-Wan Jang +3
Latest CNN-based object detection models are quite accurate but require a high-performance GPU to run in real-time. They still are heavy in terms of memory size and speed for an em…
cs.CV2020★ 3 cited
FRDet: Balanced and Lightweight Object Detector based on Fire-Residual Modules for Embedded Processor of Autonomous Driving
Seontaek Oh, Ji-Hwan You, Young-Keun Kim
For deployment on an embedded processor for autonomous driving, the object detection network should satisfy all of the accuracy, real-time inference, and light model size requireme…