Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
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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
Multi-task learning with adapted torchvision models (SSD, FasterRCNN, DeepLabv3) using Lightning-AI
PyTorch implementation of SSD: Single Shot MultiBox Detector.
A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!
tensorflow mobilenet V2 ssdlite
object detection using mobilenetV2 SSDlite model
LUPI-OD - A novel methodology to improve object detection accuracy without increasing model size or complexity. | Master of Science Dissertation | University of Malta
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