PlueckerNet
Line registration model
Develops a deep learning model to register 3D line reconstructions from multiple viewpoints
PlueckerNet: Learn to Register 3D Line Reconstructions
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 | 513 |
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 | 1,312 |
charlesq34/frustum-pointnets | A deep learning framework for 3D object detection from RGB-D data | 1,592 |
luogen1996/lavin | An open-source implementation of a vision-language instructed large language model | 508 |
hannes-brt/hebel | A deep learning library that provides GPU acceleration and various neural network models and training methods. | 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. | 636 |
google-research/visu3d | An abstraction layer between various deep learning frameworks and your program. | 147 |
hanqer/deep-hough-transform | A deep learning-based approach to semantic line detection | 344 |
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 | 827 |
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 |