Yolov1 to v8: Unveiling each variant–a comprehensive review of yolo

M Hussain - IEEE Access, 2024 - ieeexplore.ieee.org
This paper implements a systematic methodological approach to review the evolution of
YOLO variants. Each variant is dissected by examining its internal architectural composition …

ThinResNet: A New Baseline for Structured Convolutional Networks Pruning

H Tessier, GB Hacene, V Gripon - arXiv preprint arXiv:2309.12854, 2023 - arxiv.org
Pruning is a compression method which aims to improve the efficiency of neural networks by
reducing their number of parameters while maintaining a good performance, thus enhancing …

Convolutional neural networks pruning and its application to embedded vision systems

H Tessier - 2023 - theses.hal.science
Being at the state of the art in many domains, such as computer vision, convolutional neural
networks became a staple for many industrial applications, such as autonomous vehicles …