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CVIP's Projects

mnn_demo icon mnn_demo

🥭 移动端MNN部署学习笔记。支持Android与iOS。

mobilefsgan icon mobilefsgan

Source code for the paper: Migrating Face Swap to Mobile Devices: A lightweight Framework and A Supervised Training Solution

mobilenet-yolo icon mobilenet-yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

mobilenet-yolov4-pytorch icon mobilenet-yolov4-pytorch

这是一个mobilenet-yolov4的库,把yolov4主干网络修改成了mobilenet,修改了Panet的卷积组成,使参数量大幅度缩小。

mobilenetv2.pytorch icon mobilenetv2.pytorch

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

mobilenext-1 icon mobilenext-1

non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]

mobilevit icon mobilevit

Unofficial PyTorch implementation of MobileViT based on paper "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

mobilevit-pytorch icon mobilevit-pytorch

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

moco icon moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

models icon models

A collection of pre-trained, state-of-the-art models in the ONNX format

modelsgenesis icon modelsgenesis

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

modnet icon modnet

A Trimap-Free Solution for Portrait Matting in Real Time under Changing Scenes

monai icon monai

AI Toolkit for Healthcare Imaging

mono-uncertainty icon mono-uncertainty

CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

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