BANet
Urban image segmentation model
An implementation of a deep learning model for semantic segmentation of high-resolution urban scene images.
The semantic segmentation of remote sensing images
13 stars
2 watching
0 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list
potsdamremote-sensingsegmentationsemantic-segmentationtransformeruavuavid
Related projects:
Repository | Description | Stars |
---|---|---|
| Develops an efficient network architecture for semantic segmentation of high-resolution remote sensing images. | 34 |
| An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |
| An implementation of the ENet model for semantic segmentation in images, trained on the Cityscapes dataset. | 245 |
| An implementation of a deep learning algorithm for image segmentation using convolutional neural networks | 220 |
| This is an open-source implementation of a deep learning model for semantic image segmentation and image classification. | 340 |
| A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
| Reimplementation of a neural network model for conditional segmentation of ambiguous images | 548 |
| Deep learning models for semantic segmentation of images | 101 |
| Research into efficient neural networks for semantic image segmentation in autonomous driving applications | 719 |
| Develops an instance segmentation and panoptic segmentation model for computer vision tasks. | 648 |
| An implementation of a deep learning model for image segmentation using PyTorch | 868 |
| A convolutional neural network architecture for biomedical image segmentation | 430 |
| Automated image segmentation of road and vehicle features from video data using the U-Net algorithm | 15 |
| An implementation of a state-of-the-art deep learning model for semantic image segmentation | 197 |
| A deep learning implementation of an object segmentation algorithm. | 187 |