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Source code and datadset for "A Heterogeneous Remote-Sensing Image Matching Method Based on Deep Learning Feature"
Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"
D2-Net: A Trainable CNN for Joint Description and Detection of Local Features
Pre-trained models for our CVPR 2016 paper: "Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions"
[ICCV17] DeepCD: Learning Deep Complementary Descriptors for Patch Representations
Code for the ICCV 2015 paper "Discriminative Learning of Deep Convolutional Feature Point Descriptors"
Metric/Embedding learning using (convolutional) neural network with application to keypoint matching, stereo matching, image retrival, etc
An unofficial Tensorflow implementation of the DSNT layer, as taken from the paper "Numerical Coordinate Regression with Convolutional Neural Networks".
Using Deep learning to locate the Synthetic Aperture Radar(SAR) images to the counterpart of Optical images.
H-Net: Neural Network for Cross-domain Image Patch Matching
Hardnet descriptor model - "Working hard to know your neighbor's margins: Local descriptor learning loss"
Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.
HPatches: Homography-patches dataset.
Code and mode for CVPR 2017 paper "L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space"
Learning cross-spectral similarity measures with deep convolutional neural networks code
Use torch in python for deep learning.
Trained model and test code for high resolution optical and SAR image matching
reproduce paper PN-Net:Conjoined Triplet Deep Netwprk for Learning Local Image Descriptor
Conjoined Triple Deep Network for Learning Local Image Descriptors
Pytorch implementation of "Fully-Convolutional Siamese Networks for Object Tracking"
A Robust Matching Network for Gradually Estimating Geometric Transformation on Remote Sensing Imagery
Patch Ordering based SAR Image Despeckling via Transform-Domain Filtering
Our "Visual Saliency Aided SAR and Optic Image Matching" papaer's code
Tensorflow implementation of both training and evaluation process of SiameseFC from Luca's paper: https://www.robots.ox.ac.uk/~luca/siamese-fc.html
A Framework for Deep Learning-based Sparse SAR-Optical Image Matching
Pretrained pytorch model for the SOSNet descriptor [CVPR 2019]
Pretrained pytorch model for the SOSNet descriptor [CVPR 2019]
This is an implementation of CVPR 2019 accepted paper "SOSNet: Second Order Similarity Regularization for Local Descriptor Learning" , and because of the training process was not public, I will try to follow with my understanding and using it into our dataset.
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.