DeepLab v3+ model in PyTorch. Support different backbones.
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Updated
Aug 4, 2024 - Python
DeepLab v3+ model in PyTorch. Support different backbones.
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
Caffe Implementation of Google's MobileNets (v1 and v2)
High level network definitions with pre-trained weights in TensorFlow
Code for our CVPR2021 paper coordinate attention
MobileNetV3 in pytorch and ImageNet pretrained models
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer"
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
A Keras implementation of MobileNetV2.
yolov3 with mobilenetv2 and efficientnet
Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow
基于CenterNet训练的目标检测&人脸对齐&姿态估计模型
A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation
A Complete and Simple Implementation of MobileNet-V2 in PyTorch
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