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Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
Code for https://arxiv.org/abs/1611.10080
age and gender estimation using caffe network
Demonstration of using Caffe2 inside an Android application.
This branch is developed for deep face recognition
Zero dependents caffe for testing phase
基于caffe的LSTM OCR案例,能够利用该案例完成序列的识别,包括验证码、车牌、身份证号码、地址等长序列动长的内容识别
CLM-framework (a.k.a Cambridge Face Tracker) is a framework for various Constrained Local Model based face tracking and landmark detection algorithms and their extensions/applications. Includes CLM-Z and CLNF.
we propose a novel and efficient cross-domain human parsing model to bridge the cross-domain differences in terms of visual appearance and environment conditions and fully exploit commonalities across domains. Our proposed model explicitly learns a feature compensation net-work, which is specialized for mitigating the cross-domain differences. A discriminative feature adversarial network is introduced to supervise the feature compensation to effectively reduces the discrepancy between feature distributions of two domains. Besides, our proposed model also introduces a structured label adversarial network to guide the parsing results of the target domain to follow the high-order relationships of the structured labels shared across domains. The proposed framework is end-to-end trainable, practical and scalable in real applications. Extensive experiments are con- ducted where LIP dataset is the source domain and 4 different datasets including surveillance videos, movies and run- way shows without any annotations, are evaluated as target domains. The results consistently confirm data efficiency and performance advantages of the proposed method for the challenging cross-domain human parsing problem.
Reimplementation of DeepLabV3
Torch implementation of DeepMask and SharpMask
Deformable Convolutional Networks
Dilated Convolution for Semantic Image Segmentation
optimize dlib (especially face detection) for arm platform
Dilated Residual Networks
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Fast and robust face detection and tracking
The world's simplest facial recognition api for Python and the command line
A Light CNN for Deep Face Representation with Noisy Labels
FaceAR Head Pose Estimation StaticLib
Face recognition using Tensorflow
segmentation, instance segmentation and single image depth
Fully Convolutional Instance-aware Semantic Segmentation
FDDB Evaluation Software
Open-source implementation of facial landmark detector
Visualizing Object Detection Features. ICCV 2013
The Matlab implementation of Supervised Descent Method (SDM) for Face Alignment.
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
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.