
layout: blog_detail
title: 'Everything You Need To Know About Torchvision’s SSDlite Implementation'
author: Vasilis Vryniotis
featured-img: 'assets/images/mAP-of-SSD320-MobileNetV3-Large.png'

In the previous article, we’ve discussed how the SSD algorithm works, covered its implementation details and presented its training process. If you have not read the previous blog post, I encourage you to check it out before continuing.
In this part 2 of the series, we will focus on the mobile-friendly variant of SSD called SSDlite. Our plan is to first go through the main components of the algorithm highlighting the parts that differ from the original SSD, then discuss how the released model was trained and finally provide detailed benchmarks for all the new Object Detection models that we explored.
The SSDlite Network Architecture