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Implementation of RegNet (Tensorflow). Contribute to gshashank84/RegNet development by creating an account on GitHub.
Apache-2.0 license RegNet Introduction In this work we propose a method to solve nonrigid image registration through a learning approach, instead of via iterative optimization of a predefined dissimilarity metric. We design a Convolutional Neural Network (CNN) architecture that, in contrast to all oth...
print.regnet.R add plot() 2 years ago regnet-package.R update Makevars 8 months ago regnet.R update robust methods (dividing by 0) 8 months ago © 2022 GitHub, Inc. Terms Privacy Security Status Docs Contact GitHub Pricing API Training Blog About ...
We have added RegNet, and DLA34 backbone support to the already existing rtdetr_pytorch architecture. These two backbones offer a compelling balance between parameter efficiency and precision. With...
PyTorch reimplementation of RegNet (Design Space Design, CVPR2020) on CIFAR10 and ImageNet - yhhhli/RegNet-Pytorch
master BranchesTags Code Folders and files Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 24 Commits demo update readme file Apr 21, 2020 scripts update readme and add shell scripts ...
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Assignees No one assigned Labels module: flaky-tests module: fx skipped triaged Projects None yet Milestone No milestone Development No branches or pull requests 0 participants Footer...
3DRegNet: A Deep Neural Network for 3D Point Registration G. Dias Pais1, Pedro Miraldo1,2, Srikumar Ramalingam3, Jacinto C. Nascimento1, Venu Madhav Govindu4, and Rama Chellappa5 1Instituto Superior Tecnico, Lisboa 2KTH Royal Institute of Technology 3University of Utah 4Indian Institute ...