特征匹配论文代码整理-深度学习

RF-Net: An End-to-End Image Matching Network based on Receptive Field

https://arxiv.org/abs/1906.00604

http://www.ece.lsu.edu/xinli/

https://github.com/Xylon-Sean/rfnet

 

 

https://filebox.ece.vt.edu/~jbhuang/publications.html

总结性质的github：

特征描述符：

https://github.com/shamangary/awesome-local-global-descriptor

 

L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space

https://github.com/virtualgraham/L2-Net-Python-Keras

https://github.com/yuruntian/L2-Net

Learning local feature descriptors with triplets and shallow convolutional neural networks

https://github.com/vbalnt/tfeat

Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability

https://github.com/ducha-aiki/affnet

Working hard to know your neighbor's margins: Local descriptor learning loss

https://github.com/DagnyT/hardnet

PN-Net:Conjoined Triplet Deep Netwprk for Learning Local Image Descriptor-2016.01

https://github.com/vbalnt/pnnet

https://github.com/lovekittynine/PN-Net

MatchNet: Unifying Feature and Metric Learning for Patch-Based Matching-2015-cvpr

https://github.com/hanxf/matchnet

DeepCompare: Learning to Compare Image Patches via Convolutional Neural Networks-2015-cvpr

https://github.com/szagoruyko/cvpr15deepcompare

Learning to Assign Orientations to Feature Points-2015.11

https://github.com/vcg-uvic/benchmark-orientation

Discriminative Learning of Deep Convolutional Feature Point Descriptors-2015-iccv

https://github.com/etrulls/deepdesc-release

https://github.com/cvlab-epfl/deepdesc-release

TILDE: A Temporally Invariant Learned DEtector

https://github.com/vcg-uvic/TILDE

LIFT: Learned Invariant Feature Transform 

https://github.com/cvlab-epfl/LIFT

https://github.com/cvlab-epfl/tf-lift