We present a novel architecture for real-time object detection that achieves state-of-the-art accuracy while maintaining low latency suitable for edge devices.
Mensah, A. (2024). Deep Learning Approaches for Real-time Object Detection. Proc. ICCV: 45-58.
Cited by 34 publications.
See also related work on model compression and quantization.