changqunxia

caffe

Caffe: a fast open framework for deep learning.

CF-Caffe

Caffe designed for Deep Context Features

changqunxia.github.io

deepdetect

Deep Learning API and Server in C++11 support for Caffe, Caffe2, Dlib, Tensorflow, XGBoost and TSNE

DenseNet-Caffe

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

DenseNetCaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

DN_CaffeScript

DSS

code for "Deeply supervised salient object detection with short connections" published in CVPR 2017

fcn.berkeleyvision.org

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

hed

code for Holistically-Nested Edge Detection

Mask-RCNN

Implementation of Mask-RCNN in Caffe https://arxiv.org/pdf/1703.06870.pdf

MobileNet-Caffe

Caffe Implementation of Google's MobileNets (v1 and v2)

MobileNet_Caffe

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

Paper_Reading_List

Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)

PSPNet

Pyramid Scene Parsing Network, CVPR2017.