A Keras implementation of MobileNetV2.
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
A Tensorflow implementation of MobileNet V2
yolov3 with mobilenetv2 and efficientnet
Impementation of MobileNetV2 in pytorch
Face Alignment by Mobilenetv2
Code for our CVPR2021 paper coordinate attention
翻译 - 代码为我们的CVPR2021纸张坐标注意
centernet, mobilenetv2, centerface
Reproduction of MobileNetV2 using MXNet
A PyTorch Implementation of MobileNetv2+DeepLabv3
MobileNets-SSD/SSDLite on VOC/BDD100K Datasets
Deeplab-V3+ model with MobilenetV2/MobilenetV3 on TensorFlow for mobile deployment.
#计算机科学#MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB🔥🔥🔥
翻译 - MobileNetV2-YoloV3-Nano：0.5BFlops 3MB HUAWEI P40：6ms / img，YoloFace-500k：0.1Bflops500KB：fire :: fire :: fire：
MobileNetV2-based baseline system for DCASE2021 Challenge Task 2.
An example running Object Detection using Core ML (YOLOv8, YOLOv5, YOLOv3, MobileNetV2+SSDLite)
ssd detector use backbone as VGG、MobileNetV1、MobileNetV2、MobileNetV3
This is the PyTorch implement of MobileNet V2
Training tf based DeeplabV3 - MobilenetV2 model on the modanet dataset.