Alternatives and similar repositories for MobileNetV3-SSD

Users that are interested in MobileNetV3-SSD are comparing it to the libraries listed below

• tongyuhome / MobileNetV3-SSD

  View on GitHub
  MobileNetV3 based SSD-lite implementation in Pytorch
  ☆100Sep 11, 2019Updated 6 years ago
• shaoshengsong / MobileNetV3-SSD-Compact-Version

  View on GitHub
  MobileNetV3 SSD的简洁版本
  ☆79May 8, 2024Updated last year
• shaoshengsong / quarkdet

  View on GitHub
  QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
  ☆92Feb 3, 2021Updated 5 years ago
• ujsyehao / mobilenetv3-ssd

  View on GitHub
  provide pytorch model and ncnn model
  ☆77Feb 27, 2020Updated 5 years ago
• shaoshengsong / EfficientNet-SSD

  View on GitHub
  Object Detection using EfficientNet
  ☆45Jul 17, 2019Updated 6 years ago
• qfgaohao / pytorch-ssd

  View on GitHub
  MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open I…
  ☆1,429Mar 11, 2023Updated 2 years ago
• ZhongyuanW / SSD_mobilenetv2-with-Focal-loss

  View on GitHub
  this repo is forked from https://github.com/amdegroot/ssd.pytorch. Implemented by pytorch
  ☆47Dec 11, 2019Updated 6 years ago
• xiaolai-sqlai / mobilenetv3

  View on GitHub
  mobilenetv3 with pytorch，provide pre-train model
  ☆1,822Apr 27, 2023Updated 2 years ago
• ShuangXieIrene / ssds.pytorch

  View on GitHub
  Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
  ☆568Aug 18, 2020Updated 5 years ago
• markshih91 / mobilenet_v2_ssdlite_keras

  View on GitHub
  A keras version of real-time object detection network : mobilenet_v2_ssdlite
  ☆80May 13, 2020Updated 5 years ago
• leaderj1001 / MobileNetV3-Pytorch

  View on GitHub
  Implementing Searching for MobileNetV3 paper using Pytorch
  ☆299Jul 4, 2019Updated 6 years ago
• kuan-wang / pytorch-mobilenet-v3

  View on GitHub
  MobileNetV3 in pytorch and ImageNet pretrained models
  ☆804Jun 23, 2019Updated 6 years ago
• lucasjinreal / ssds_pytorch

  View on GitHub
  Multiple basenet MobileNet v1,v2, ResNet combined with SSD detection method and it's variants such as RFB, FSSD etc.
  ☆82Nov 6, 2018Updated 7 years ago
• chuanqi305 / MobileNet-SSD

  View on GitHub
  Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
  ☆2,113Jul 13, 2025Updated 7 months ago
• ViswanathaReddyGajjala / SSD_MobileNet

  View on GitHub
  SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection
  ☆34Jun 17, 2021Updated 4 years ago
• 610265158 / mobilenetv3_centernet

  View on GitHub
  A tensorflow implement mobilenetv3 centernet, which can be easily deployeed on android(MNN) and ios(CoreML).
  ☆69Jan 15, 2021Updated 5 years ago
• lufficc / SSD

  View on GitHub
  High quality, fast, modular reference implementation of SSD in PyTorch
  ☆1,586Jan 26, 2024Updated 2 years ago
• tanluren / mobilenetv3-yolov3

  View on GitHub
  An experiment of transferring backbone of yolov3 into mobilenetv3
  ☆104Jul 23, 2019Updated 6 years ago
• amdegroot / ssd.pytorch

  View on GitHub
  A PyTorch Implementation of Single Shot MultiBox Detector
  ☆5,229Dec 29, 2021Updated 4 years ago
• foamliu / MobileFaceNet-PyTorch

  View on GitHub
  PyTorch implementation of MobileFaceNets
  ☆19Feb 6, 2020Updated 6 years ago
• eric612 / MobileNet-YOLO

  View on GitHub
  A caffe implementation of MobileNet-YOLO detection network
  ☆869Mar 28, 2021Updated 4 years ago
• JaryHuang / awesome_SSD_FPN_GIoU

  View on GitHub
  This repository carries out some paper recurring work
  ☆106Jan 21, 2020Updated 6 years ago
• bubbliiiing / Mobilenet-SSD-Essay

  View on GitHub
  这是Mobilenet-SSD的论文版，可用于训练与预测。
  ☆85Jan 5, 2023Updated 3 years ago
• XiaoYuhao / SSD-detection

  View on GitHub
  ssd detector use backbone as VGG、MobileNetV1、MobileNetV2、MobileNetV3
  ☆13Oct 6, 2021Updated 4 years ago
• xiaoxiaotao / faceboxes_plate

  View on GitHub
  plate
  ☆12Feb 19, 2019Updated 6 years ago
• watersink / mobilev2yolov3-as-linux

  View on GitHub
  基于mobilev2和YOLOv3的目标检测的android端的ncnn的实现
  ☆10Mar 20, 2020Updated 5 years ago
• northernjay885 / NCNN-Mobilenetv2-YOLOv3

  View on GitHub
  ☆12May 18, 2020Updated 5 years ago
• fsx950223 / mobilenetv2-yolov3

  View on GitHub
  yolov3 with mobilenetv2 and efficientnet
  ☆294Nov 21, 2022Updated 3 years ago
• Lam1360 / YOLOv3-model-pruning

  View on GitHub
  在 oxford hand 数据集上对 YOLOv3 做模型剪枝（network slimming）
  ☆1,675Sep 26, 2022Updated 3 years ago
• chuanqi305 / MobileNetv2-SSDLite

  View on GitHub
  Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
  ☆450Oct 18, 2018Updated 7 years ago
• DayBreak-u / centernet_mobilenetv2_ncnn

  View on GitHub
  centernet_mobilenetv2 inference by ncnn
  ☆65Dec 27, 2019Updated 6 years ago
• fanbinqi / SSD-Tensorflow

  View on GitHub
  My own re-implementation of VGG-SSD and MobileNet-SSD based tensorflow 1.8.0
  ☆23May 19, 2019Updated 6 years ago
• qixuxiang / Pytorch_Lightweight_Network

  View on GitHub
  Lightweight Networks such as MobileNet, ShuffleNet and ThunderNet implemented in Pytorch
  ☆72Jun 26, 2020Updated 5 years ago
• hmzjwhmzjw / pytorch_onnx_ncnn_android_example

  View on GitHub
  ☆27Jul 2, 2019Updated 6 years ago
• ManishSoni1908 / Mobilenet-ssd-keras

  View on GitHub
  A Keras port of Single Shot MultiBox Detector as Mobilenet as a Backbone
  ☆61Dec 18, 2019Updated 6 years ago
• Cw-zero / TensorRT_yolo3

  View on GitHub
  use TensorRT accelerate yolo3
  ☆121Apr 19, 2019Updated 6 years ago
• lizhe960118 / HrCenterNet

  View on GitHub
  基于hrnet的backbone改进centernet
  ☆23Aug 14, 2019Updated 6 years ago
• bleakie / CenterMulti

  View on GitHub
  基于CenterNet训练的目标检测&人脸对齐&姿态估计模型
  ☆286Mar 16, 2021Updated 4 years ago
• MirrorYuChen / ncnn_example

  View on GitHub
  ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&&centerface, track: iou tracking, landmark: zqcnn, recognize: m…
  ☆477Jun 22, 2022Updated 3 years ago