arXiv cs.LG
· Papers
A Comprehensive Evaluation of Deep Learning Object Detection Models on Heterogeneous Edge Devices
arXiv:2409.16808v3 Announce Type: replace-cross Abstract: Modern applications such as autonomous vehicles, intelligent surveillance, and smart city systems increasingly require object detection on resource-constrained edge devices. Yet, there is still limited understanding of how different object detection models behav