activity
20242026
most citedReal-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows

1 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

cs.CV2025★ 1 cited

Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows

Julien Posso, Hugo Kieffer, Nicolas Menga +6

This study introduces a lightweight U-Net model optimized for real-time semantic segmentation of aerial images, targeting the efficient utilization of Commercial Off-The-Shelf (COT…