Developing a Compressed Object Detection Model based on YOLOv4 for Deployment on Embedded GPU Platform of Autonomous System.
Issac SimJu-Hyung LimYoung-Wan JangJi-Hwan YouSeon Taek OhYoung-Keun KimPublished in: CoRR (2021)
Keyphrases
- object detection
- real time
- face detection
- scene understanding
- control software
- computer vision
- autonomous systems
- object recognition
- multi class
- object categories
- embedded systems
- graphics hardware
- object classification
- data compression
- data structure
- pedestrian detection
- efficient implementation
- parallel computing
- human detection
- graphics processing units
- scene recognition
- parallel processing
- digital images
- process management
- real time embedded