reseg-pytorch
Image segmentation model
A PyTorch implementation of a deep learning model for semantic image segmentation with annotated object parts.
PyTorch Implementation of ReSeg (https://arxiv.org/pdf/1511.07053.pdf)
46 stars
3 watching
10 forks
Language: Python
last commit: about 7 years ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
| A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
| An implementation of a deep learning model for image segmentation using PyTorch | 868 |
| A PyTorch implementation of a deep learning model for semantic segmentation tasks in computer vision. | 380 |
| Re-implementation of a deep learning model for semantic segmentation using PyTorch. | 52 |
| Implementation of semantic segmentation models and datasets using PyTorch | 1,705 |
| PyTorch implementation of a deep learning model for image segmentation | 90 |
| Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
| A PyTorch implementation of V-Net for volumetric medical image segmentation | 703 |
| A PyTorch project for comparing image classification models and facilitating quick experiment setup | 366 |
| An implementation of a deep learning model using PyTorch for semantic segmentation tasks. | 237 |
| A PyTorch implementation of a real-time semantic segmentation model using ENet architecture | 392 |
| An open source implementation of deep learning-based human segmentation models using PyTorch | 558 |
| Provides PyTorch implementations of various models and pipelines for semantic segmentation in deep learning. | 1,729 |
| A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
| A PyTorch implementation of a segmentation network architecture | 588 |