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
Multi-task learning with adapted torchvision models (SSD, FasterRCNN, DeepLabv3) using Lightning-AI
LUPI-OD - A novel methodology to improve object detection accuracy without increasing model size or complexity. | 2025 European Workshop on Visual Information Processing (EUVIP) | M.Sc. ICT (By Research) Dissertation | University of Malta
tensorflow mobilenet V2 ssdlite
A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!
object detection using mobilenetV2 SSDlite model
A MobileNetV3-based object detection framework featuring a Faster R-CNN baseline and end-to-end QAT→ONNX→TensorRT pipelines for SSDLite and RetinaNet, using YOLO-format labels.
📺 Stream IPTV effortlessly with neTV, a minimal web interface designed for smooth playback on any device, enhancing your viewing experience.
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."