Image, point set, and surface registration in PyTorch.
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Updated
Oct 18, 2024 - Python
Image, point set, and surface registration in PyTorch.
ML framework to estimate Bayesian posteriors of galaxy morphological parameters
Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"
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.
Image-and-Spatial Transformer Networks
My thesis code for Traffic Sign Recognition using 2 different datasets (GTSRB and DFG) and different kinds of models (CNN, STN, ViT).
Foveated Spatial Transformers
Implementation of STN (Spatial Transformer Network) and ICSTN (Inverse Compositional Spatial Transformer Networks) in Tensorlayer to predict transformation parameters from 2D images.
Recognizing traffic signs with deep learning and PyTorch using Spatial Transformer Convolutional Neural Networks.
Unofficial PyTorch implementation for incorporating a 3D Morphable Model (3DMM) into a Spatial Transformer Network (STN)
An unofficial PyTorch implementation of VoxelMorph- An unsupervised 3D deformable image registration method
Spatial Transformer Networks (STN) implementation in TensorFlow
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