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Name: Fen Lu
Type: User
Company: GuangXi Normal University
Bio: His research interests are in the areas of image processing, pattern recognition, and artificial intelligence.
Location: Guilin, China
Name: Fen Lu
Type: User
Company: GuangXi Normal University
Bio: His research interests are in the areas of image processing, pattern recognition, and artificial intelligence.
Location: Guilin, China
My personal note about local and global descriptor
BOW algorithm based on color histogram.
CapsLayer: An advanced library for capsule theory
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet
Image retrieval by aggregating deep orientation structure features
Deep-seated features histogram: A novel image retrieval method
Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.
:octocat:Various hashing methods for image retrieval and serves as the baselines
Matlab code for "Deep Feature Aggregation and Image Re-ranking with Heat Diffusion for Image Retrieval"
MATLAB implementation of the Saliency-Based Visual Attention model proposed by Laurent Itti in 1998.
Image Retrieval Using Multilayer Feature Aggregation Histogram
NetVLAD: CNN architecture for weakly supervised place recognition
OSAH method (Object Semantic Aggregation Histogram)
Vision Transformer (ViT) in PyTorch
Miscellaneous utilities
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
RepVGG: Making VGG-style ConvNets Great Again
(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"
Computing saliency map according to itti's '98 model
This is an Implementation of "SIFT Features" on MatLab.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
视觉实验室新手任务
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.
vlad image processing algorithm
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.