farmingyard

ShuffleNet

This is a fast caffe implementation of ShuffleNet.

caffe-mobilenet_v2

caffe based mobilenet v2 deploy

Interview-Notebook

:books: 技术面试需要掌握的基础知识，持续更新中~

FaceRecognition

A complete solution for faceDetection，Facealignment，and faceRecogniton using MTCNN and Center Loss under the Caffe framework

USTC-CS-Courses-Resource

:heart:中国科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)

coding-interview-university

A complete computer science study plan to become a software engineer.

In-Prestissimo

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation

AMSoftmax

A simple yet effective loss function for face verification.

awesome-knowledge-distillation

Awesome Knowledge Distillation

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

CondenseNet

CondenseNet: Light weighted CNN for mobile devices

DeepGuidedFilter

Official Implementation for Deep Guided Filter, CVPR 2018

FavoritePapers

learnopencv

Learn OpenCV : C++ and Python Examples

LovaszSoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

mobile-deep-learning

This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.

MobileFaceNet

MobileNet-SSD

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

neural-image-assessment

Implementation of NIMA: Neural Image Assessment in Keras

nima.pytorch

NIMA: Neural IMage Assessment

RealBasicVSR

Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"

SAN

Style Aggregated Network for Facial Landmark Detection, CVPR 2018

SegNet-Tutorial

Files for a tutorial to train SegNet for road scenes using the CamVid dataset

SICE

Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)

Simd

C++ image processing library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.

Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

TextBoxes_plusplus

TextBoxes++: A Single-Shot Oriented Scene Text Detector

TFSegmentation

RTSeg: Real-time Semantic Segmentation Comparative Study

zju-icicles

浙江大学课程攻略共享计划