ssdlite

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

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

PyTorch Implementation of objection detection networks

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.

Multi-task learning with adapted torchvision models (SSD, FasterRCNN, DeepLabv3) using Lightning-AI

A multi task neural network implemented from scratch, performing object detection with SSD and semantic segmentation with DeeplabV3+ simultaneosly!

tensorflow mobilenet V2 ssdlite

SSDLite object detection on COCO in PyTorch. Systematic optimization took our MobileNetV2 SSDLite from 0.177 to 0.212 mAP (val2017), matching torchvision's official SSDLite with an older backbone.

object detection using mobilenetV2 SSDlite model

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THIS IS A SMALL PART OF A LARGER PROJECT AND THIS PART INCLUDES RECTANGULAR OVERLAY DETECTION FROM NEWS BROADCASTS.