PapaMadeleine's repositories
caffe-tensorflow
Caffe models in TensorFlow
deeplab-public-ver2
This repo was mirrored from here: https://bitbucket.org/aquariusjay/deeplab-public-ver2
deeplearningbook-chinese
Deep Learning Book Chinese Translation
deepspeech
DeepSpeech neon implementation
fcn.berkeleyvision.org
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
FCN.tensorflow
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
flask-login
Flask user session management.
fundus-vessel-segmentation-tbme
In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained, fully connected conditional random field model. Standard segmentation priors such as a Potts model or total variation usually fail when dealing with thin and elongated structures. We overcome this difficulty by using a conditional random field model with more expressive potentials, taking advantage of recent results enabling inference of fully connected models almost in real-time. Parameters of the method are learned automatically using a structured output support vector machine, a supervised technique widely used for structured prediction in a number of machine learning applications. Our method, trained with state of the art features, is evaluated both quantitatively and qualitatively on four publicly available data sets: DRIVE, STARE, CHASEDB1 and HRF. Additionally, a quantitative comparison with respect to other strategies is included. The experimental results show that this approach outperforms other techniques when evaluated in terms of sensitivity, F1-score, G-mean and Matthews correlation coefficient. Additionally, it was observed that the fully connected model is able to better distinguish the desired structures than the local neighborhood based approach. Results suggest that this method is suitable for the task of segmenting elongated structures, a feature that can be exploited to contribute with other medical and biological applications.
Inception-v4
Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras
keras-vggface
VGGFace implementation with Keras Framework
kitti-ssd
Train your own data using SSD in a more clear and simple way(not include source code)
MTCNN_face_detection_alignment
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
mxnet-face
Using mxnet for face-related algorithm.
places365
The Places365-CNNs
pva-faster-rcnn
Demo code for PVANet
SeetaFaceLib
:peach: SeetaFace for Xcode and Qt
SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
tagcloud
3D TagCloud with JavaScript
tensorflow-deeplab-lfov
DeepLab-LargeFOV implemented in tensorflow
tensorflow-yolo
tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)
tripletloss
tripletloss in caffe
YOLO_tensorflow
tensorflow implementation of 'YOLO : Real-Time Object Detection'