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Meng Yan's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

caffe-fcn icon caffe-fcn

Run Long and Shelhamer's FCN image segmentation network using Caffe

caffe-model icon caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-model-1 icon caffe-model-1

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

cbam.pytorch icon cbam.pytorch

Non-official implement of Paper:CBAM: Convolutional Block Attention Module

cifar10-tensorflow icon cifar10-tensorflow

cifar10数据集上进行图片分类,基于tensorflow框架,旨在探究不同的改进策略对分类准确率的影响,如何一步步得提高准确率

deep-high-resolution-net.pytorch icon deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

densenet-caffe icon densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

involution icon involution

PyTorch reimplementation of the paper "Involution: Inverting the Inherence of Convolution for Visual Recognition" (2D and 3D Involution) [CVPR 2021].

kneel icon kneel

Hourglass Networks for Knee Anatomical Landmark Localization: PyTorch Implementation

ml_practice icon ml_practice

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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