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wuxiaolianggit's Projects

mobilenet_caffe icon mobilenet_caffe

This is an implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

mobilenetv3_centernet icon mobilenetv3_centernet

A tensorflow implement mobilenetv3 centernet, which can be easily deployeed on android(MNN) and ios(CoreML).

model-compression icon model-compression

model compression based on pytorch (1、quantization: 8/4/2bits(dorefa)、ternary/binary value(twn/bnn/xnor-net);2、 pruning: normal、regular and group convolutional channel pruning;3、 group convolution structure;4、batch-normalization folding for binary value of feature(A))

models icon models

Models and examples built with TensorFlow

modnet icon modnet

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

moran_v2 icon moran_v2

MORAN: A Multi-Object Rectified Attention Network for Scene Text Recognition

msds-rcnn icon msds-rcnn

''Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation''. BMVC 2018.

mtcnn icon mtcnn

基于caffe的mtcnn训练实现,可以训练一个自己的有效的目标检测算法,非常容易非常简单,并且有配套的纯c++版本的mtcnn-light

mtcnn-caffe icon mtcnn-caffe

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

mtcnn-light icon mtcnn-light

this repository is the implementation of MTCNN with no framework, Just need opencv and openblas, support linux and windows

mtcnn_train icon mtcnn_train

MTCNN_Training Scripts For Face Detection with PyTorch 0.4.0

multiperson icon multiperson

Code repository for the paper: "Coherent Reconstruction of Multiple Humans from a Single Image" in CVPR'20

mvfnet icon mvfnet

Pytorch code for paper: MVF-Net: Multi-View 3D Face Morphable Model Regression

mvision icon mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

mvlt icon mvlt

PyTorch implementation of BMVC2022 paper Masked Vision-Language Transformers for Scene Text Recognition

mxnet-e2far icon mxnet-e2far

MXNET/Gluon Implementation of End-to-end 3D Face Reconstruction with Deep Neural Networks

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