caffe-model-gallery

This is a repositoy to gather models implemented in caffe. Including classification, detection, semantic segmentation and human pose estimation

1. Classification

<1> VGG-16, VGG-19

VGG-16: https://gist.github.com/ksimonyan/211839e770f7b538e2d8

VGG-19: https://gist.github.com/ksimonyan/3785162f95cd2d5fee77#file-readme-md

<2> ResNet( ResNet-50, ResNet-101, ResNET-151)

Official project: https://github.com/KaimingHe/deep-residual-networks

<3> MobileNet

Third party project: https://github.com/shicai/MobileNet-Caffe

Official project (tensorfow) :https://github.com/tensorflow/models/blob/master/slim/nets/mobilenet_v1.md

<4> DenseNet

Official project: https://github.com/liuzhuang13/DenseNetCaffe

<5> SqueezeNet

official project: https://github.com/DeepScale/SqueezeNet

2. Detection

<1> Faster R-CNN

Official project: 

<2> R-FCN

Official project:

<3> SSD

Official project: https://github.com/weiliu89/caffe/tree/ssd

3. Semantic Segmenation

<1> FCN

Official project: https://github.com/shelhamer/fcn.berkeleyvision.org
Main contribution: fully convolutional network for dense prediction; Encode-Decode structure

<2> SegNet

Official project: https://github.com/alexgkendall/SegNet-Tutorial.git
Main contribution: symmetric encode-decode structure

<3> Deeplab-v1

Official project: https://bitbucket.org/deeplab/deeplab-public/
Main contribution: dilate convoliton + CRF

<4> Deeplab-v2

Official project: https://bitbucket.org/aquariusjay/deeplab-public-ver2	 
Main contribution: ResNet-101 + ASPP

<5> Deeplab-v3

4. Human Pose estimation

<1> Hourglass

<2> CMU-Pose (OpenPose)

Official project :https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
Main contribution: Bottom-up structure, multi-task learning (keypoints + PAF)

<3> CPM (Convolutional Pose Machine)

Official project: https://github.com/shihenw/convolutional-pose-machines-release
Main contribution: multi-stage refinement