PlueckerNet

Line registration software

Develops methods to register 3D line reconstructions from multiple sources.

PlueckerNet: Learn to Register 3D Line Reconstructions

GitHub

37 stars
7 watching
8 forks
Language: Python
last commit: over 3 years ago

Related projects:

Repository Description Stars
xiaoyufenfei/lednet A lightweight deep learning framework for real-time semantic segmentation 514
yechengxi/lightnet A Matlab-based framework for building and training deep learning models 270
qingyonghu/randla-net A deep learning framework for efficient semantic segmentation of large-scale 3D point clouds 1,321
charlesq34/frustum-pointnets A deep learning framework for 3D object detection from RGB-D data 1,595
luogen1996/lavin An open-source implementation of a vision-language instructed large language model 510
hannes-brt/hebel A Python library for building and training deep learning models on GPUs using CUDA 1,169
muyang0320/tensorflow-deeplab-resnet-crf An implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation 18
ermlab/politbert Trains a language model using a RoBERTa architecture on high-quality Polish text data 33
pouyamghari/pof-mkl An implementation of an online federated learning algorithm with multiple kernels for personalized machine learning 0
canjie-luo/moran_v2 A deep learning framework for scene text recognition with rectification and attention mechanisms. 638
google-research/visu3d An abstraction layer between various deep learning frameworks and your program. 148
hanqer/deep-hough-transform A deep learning-based approach to semantic line detection 345
pudae/tensorflow-pspnet An implementation of a deep learning-based semantic segmentation model using TensorFlow and the PSNet loss function. 47
tristandeleu/pytorch-maml-rl Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks 830
yanconglin/deep-hough-transform-line-priors This implementation introduces line priors into a deep learning-based line detection system to improve efficiency and accuracy. 164