Open access
Jul 2026
RISC-V-based YOLOv3-tiny acceleration with runtime-reconfigurable systolic arrays and custom instructions.
YOLOv3-tiny is widely used in edge-oriented object detection, but its deployment on resource-constrained platforms is limited by high computational cost and the limited flexibility of conventional processors. This paper presents a RISC-V-based acceleration framework for YOLOv3-tiny inference that combines a tightly cou...
Shuya Wang, Xuecong Chen, Detao Nie et al.
· Scientific Reports · 0 citations