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Type: User
Bio: 2009-2012 CASIA
Type: User
Bio: 2009-2012 CASIA
Visual Attention based OCR
A curated list of deep learning resources for computer vision
Some basic image segmentation algorithms, include mean-shift, graph-based, SLIC, SEEDS, GrabCut, OneCut, et al.
Bayesian video super-resolution
Block-based motion estimation algorithm with spatial regularization
Some implementations of algorithms for blur detection in JPEGs
Caffe: a fast open framework for deep learning.
Project for paper "Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network", ECCV 2016
Note: This is already a very old caffe version. Please check the caffe-multigpu repo for a new version based on caffe-rc (https://github.com/BVLC/caffe/releases/tag/rc). Multilabel caffe, with multiple label outputs on dataLayer. No need to modify Loss layer, each loss is dealed separately.
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
Caffe models in TensorFlow
A Caffe-based implementation of very deep convolution network for image super-resolution
Unsupervised Learning using Videos (ICCV 2015)
A multi-label version of caffe
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
CLIP + VQGAN / PixelDraw
A small C++ implementation of LSTM networks, focused on OCR.
A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset.
CNN and LSTM model for text recognition
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
Detecting Text in Natural Image with Connectionist Text Proposal Network
An old experimental implementation of curved lane detection using OpenCV, RANSAC, DBSCAN etc
Deep Texture Encoding Network
Predict facial landmarks with Deep CNNs powered by Caffe.
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
Offline Handwritten Chinese Character Recognition based on GoogLeNet and AlexNet (With CaffeModel)
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.