stoneyang
I am a research engineer in the field of computer vision with an emphasize on deep-learning aspect.
Beijing, PR China
Pinned Repositories
caffe
Caffe: a fast open framework for deep learning.
opencv_contrib
Repository for OpenCV's extra modules
opencv
Open Source Computer Vision Library
caffe_ssd
Forked from Wei Liu's repository for SSD and ParseNet. For further information, please respectively refer to the original paper and the repository in README.md
caffe_ristretto
Forked version of Ristretto, for original version of Ristretto, see https://github.com/pmgysel/caffe
cv-arxiv-daily
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 24th hours)
HDR_Toolbox
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
Multi-label-Inception-net
Multi-label image classification using pretrained Inception net.
NAS-Projects
Several neural architecture search (NAS) algorithms implemented in PyTorch.
tensorflow
Open source software library for numerical computation using data flow graphs.
stoneyang's Repositories
stoneyang/opencv_face_align
C++ implementation for face normalization.
stoneyang/aid
Automatic Query Image Disambiguation (AID)
stoneyang/BGAN
stoneyang/caffe
Caffe: a fast open framework for deep learning.
stoneyang/caffe-dnnh
A caffe version implementation of a hash network(DNNH/NINH) for similarity-based visual research based on paper: Simultaneous feature learning and hash coding with deep neural networks
stoneyang/channel-pruning
Channel Pruning for Accelerating Very Deep Neural Networks
stoneyang/CNN-for-Image-Retrieval
:sunrise:The code of post "Image retrieval using MatconvNet and pre-trained imageNet"
stoneyang/coco_loss
Implement for ``Learning Deep Features via Congenerous Cosine Loss for Person Recognition''
stoneyang/DAG-RNN
pytorch implementation of DAG-Recurrent Neural Networks
stoneyang/deep-fashion-retrieval
Simple image retrival on deep-fashion dataset with pytorch - A course project
stoneyang/deep-retrieval
🌁 Image retrieval using deep learning of global descriptors.
stoneyang/ELL
Embedded Learning Library
stoneyang/facenet_pytorch
PyTorch implementation of the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"
stoneyang/impl-pruning-TF
Implementation of "Iterative pruning" on TensorFlow
stoneyang/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
stoneyang/matching-networks-pytorch
Matching Networks for one shot learning
stoneyang/mobile-id
Deep Face Model Compression
stoneyang/ModelCompression_Project
Incremental Network Quantization, Kmeans quantization, Iterative Pruning, Dynamic Network Surgery
stoneyang/MTCNN-Tensorflow-1
mtcnn-tf
stoneyang/onnx
Open Neural Network Exchange
stoneyang/onnx-caffe2
Caffe2 implementation of Open Neural Network Exchange (ONNX)
stoneyang/py_Lightened_CNN
Python version of Lightened CNN for face feature extraction. For technique details, please refer to the original paper: https://arxiv.org/pdf/1511.02683v1.pdf
stoneyang/pytorch_face_landmark
A pytorch version of face landmark framework
stoneyang/retrieval-2017-cam
Class-Weighted Convolutional Features for Image Retrieval
stoneyang/SeetaFaceEngine
stoneyang/street_to_shop_experiments
stoneyang/tensorflow-white-paper-notes
Annotated notes and summaries of the TensorFlow white paper, along with SVG figures and links to documentation
stoneyang/tree-regularization-public
Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"
stoneyang/VGG16-Image-Retrieval
Uses TensorFlow and FC2 features to match test images to the same category given a query image as input
stoneyang/wukong
高度可定制的全文搜索引擎