Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
-
Updated
Oct 18, 2018 - Python
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity
Using as backbone for SmallMobileUnet or SmallRefineDet
PyTorch implementation of SSD: Single Shot MultiBox Detector.
tensorflow mobilenet V2 ssdlite
Multi-task learning with adapted torchvision models (SSD, FasterRCNN, DeepLabv3) using Lightning-AI
object detection using mobilenetV2 SSDlite model
A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!
Add a description, image, and links to the ssdlite topic page so that developers can more easily learn about it.
To associate your repository with the ssdlite topic, visit your repo's landing page and select "manage topics."