Pinned Repositories
caffe-mobilenet
A caffe implementation of mobilenet's depthwise convolution layer.
caffe-mobilenet_v2
caffe based mobilenet v2 deploy
Caffe-Net-Generator
Net prototxt generator for Caffe
coding-interview-university
A complete computer science study plan to become a software engineer.
FaceRecognition
A complete solution for faceDetection，Facealignment，and faceRecogniton using MTCNN and Center Loss under the Caffe framework
Interview-Notebook
:books: 技术面试需要掌握的基础知识，持续更新中~
SENet
Squeeze-and-Excitation Networks, a new architecture building block proposed by WMW team at ILSVRC2017 challenges
ShuffleNet
This is a fast caffe implementation of ShuffleNet.
simplified_mobilenet
A simplify version of mobilenet, with less group and feature maps, trained on Imagenet.
USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
farmingyard's Repositories
farmingyard/ShuffleNet
This is a fast caffe implementation of ShuffleNet.
farmingyard/caffe-mobilenet_v2
caffe based mobilenet v2 deploy
farmingyard/Interview-Notebook
:books: 技术面试需要掌握的基础知识，持续更新中~
farmingyard/FaceRecognition
A complete solution for faceDetection，Facealignment，and faceRecogniton using MTCNN and Center Loss under the Caffe framework
farmingyard/USTC-CS-Courses-Resource
:heart:**科学技术大学计算机学院课程资源(https://mbinary.xyz/ustc-cs/)
farmingyard/coding-interview-university
A complete computer science study plan to become a software engineer.
farmingyard/In-Prestissimo
A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532
farmingyard/openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation
farmingyard/AMSoftmax
A simple yet effective loss function for face verification.
farmingyard/awesome-knowledge-distillation
Awesome Knowledge Distillation
farmingyard/cascade-rcnn
Caffe implementation of multiple popular object detection frameworks
farmingyard/CondenseNet
CondenseNet: Light weighted CNN for mobile devices
farmingyard/DeepGuidedFilter
Official Implementation for Deep Guided Filter, CVPR 2018
farmingyard/FavoritePapers
farmingyard/learnopencv
Learn OpenCV : C++ and Python Examples
farmingyard/LovaszSoftmax
Code for the Lovász-Softmax loss (CVPR 2018)
farmingyard/mobile-deep-learning
This research aims at simply deploying CNN(Convolutional Neural Network) on mobile devices, with low complexity and high speed.
farmingyard/MobileFaceNet
farmingyard/MobileNet-SSD
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
farmingyard/neural-image-assessment
Implementation of NIMA: Neural Image Assessment in Keras
farmingyard/nima.pytorch
NIMA: Neural IMage Assessment
farmingyard/RealBasicVSR
Official repository of "Investigating Tradeoffs in Real-World Video Super-Resolution"
farmingyard/SAN
Style Aggregated Network for Facial Landmark Detection, CVPR 2018
farmingyard/SegNet-Tutorial
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
farmingyard/SICE
Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)
farmingyard/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.
farmingyard/Tengine
Tengine is a lite, high performance, modular inference engine for embedded device
farmingyard/TextBoxes_plusplus
TextBoxes++: A Single-Shot Oriented Scene Text Detector
farmingyard/TFSegmentation
RTSeg: Real-time Semantic Segmentation Comparative Study
farmingyard/zju-icicles
浙江大学课程攻略共享计划