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ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"
This is the implementation of paper <Additive Margin Softmax for Face Verification>
Antialiasing cnns to improve stability and accuracy. In ICML 2019.
A Caffe Implementation for Antialiased CNNs
Spatial and channel-wise attention
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Awesome Knowledge Distillation
experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc
Caffe implementation of Adobe paper: "Making Convolutional Networks Shift-Invariant Again"
A clean version (wash list) of MS-Celeb-1M face dataset, containing 6,464,018 face images of 94,682 celebrities
A caffe implementation of mobilenet's depthwise convolution layer.
Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation
Convolutional Neural Networks with Alternately Updated Clique (to appear in CVPR 2018)
some computer vision papers
Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition
CV 每日论文阅读笔记(日更)
cvpr2019/cvpr2018/cvpr2019 papers,极市团队整理
浙江大学《数据结构》上课笔记 + 数据结构实现 + 课后题题解
学习《数据结构(第2版)》(浙大陈越主编),将一些重要代码进行Python复现
Deep Residual Learning for Image Recognition
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Detail-Preserving Pooling in Deep Networks (CVPR 2018)
Face Detection, Face Alignment, Landmark detection, Face Recognition
Face Detection with the Faster R-CNN
Large input size REAL-TIME Face Detector on Cpp. It can also support face verification using MobileFaceNet+Arcface with real-time inference. 480P Over 30FPS on CPU!
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.