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spatial-transformer-networks

Here are 12 public repositories matching this topic...

Hsankesara / VoxelMorph-PyTorch

An unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method

pytorch image-registration ieeetran cvpr2018 spatial-transformer-networks deformable-image-registration voxel-morph

Updated Aug 21, 2019
Python

Bartzi / kiss

Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"

deep-learning chainer paper transformer scene-text-recognition spatial-transformer-networks

Updated Oct 3, 2023
Python

biomedia-mira / istn

Image-and-Spatial Transformer Networks

deep-learning medical-imaging image-registration spatial-transformer-networks

Updated Feb 15, 2023
Python

3DMMasSTN-Pytorch

suvojit-0x55aa / 3DMMasSTN-Pytorch

Unofficial PyTorch implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)

machine-learning deep-neural-networks computer-vision deep-learning pytorch face convolutional-neural-network 3d-morphable-face-model stn siamese-network basel-face-model 3d-morphable-models vgg-face pytorch-implementation spatial-transformer-networks

Updated Nov 19, 2019
Python

deepali

BioMedIA / deepali

Image, point set, and surface registration in PyTorch.

medical-imaging image-registration spatial-transformer-networks

Updated Nov 21, 2024
Python

tajwarabraraleef / Registration-using-CNN-STN-ICSTN

Implementation of STN (Spatial Transformer Network) and ICSTN (Inverse Compositional Spatial Transformer Networks) in Tensorlayer to predict transformation parameters from 2D images.

regression brachytherapy spatial-transformer-networks cervical-cancer

Updated Dec 6, 2021
Python

GaMPEN

aritraghsh09 / GaMPEN

ML framework to estimate Bayesian posteriors of galaxy morphological parameters

deep-neural-networks pytorch astrophysics uncertainty-neural-networks galaxy-morphology spatial-transformer-networks

Updated Aug 9, 2024
Jupyter Notebook

sovit-123 / German-Traffic-Sign-Recognition-with-Deep-Learning

Recognizing traffic signs with deep learning and PyTorch using Spatial Transformer Convolutional Neural Networks.

python computer-vision deep-learning pytorch neural-networks image-recognition convolutional-neural-networks spatial-transformer-networks

Updated May 19, 2021
Jupyter Notebook

dabane-ghassan / int-lab-book

Foveated Spatial Transformers

machine-learning computer-vision deep-learning convolutional-neural-networks stn spatial-transformer-networks bio-inspired-vision foveated-spatial-transformer

Updated Feb 10, 2022
Jupyter Notebook

gboduljak / group-equivariant-cnns-vs-spatial-transformers

This study aims to show that group equivariant CNNs outperform spatial transformers, on tasks which demand rotation invariance, by providing theoretical background and experimental performance comparison with detailed analysis.

geometric-deep-learning spatial-transformer-networks group-equivariant-neural-network

Updated Sep 10, 2023
Jupyter Notebook

fanisspr / traffic-sign-recognition

My thesis code for Traffic Sign Recognition using 2 different datasets (GTSRB and DFG) and different kinds of models (CNN, STN, ViT).

machine-learning deep-learning cnn classification traffic-sign-recognition gtsrb-dataset spatial-transformer-networks vision-transformer

Updated Jan 6, 2023
Jupyter Notebook

minar09 / spatial-transformer-networks

Spatial Transformer Networks (STN) implementation in TensorFlow

tensorflow spatial transformer spatial-transformer-network stn spatial-transformer-networks

Updated Jul 31, 2019
Python

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