CCMBA_CVPR23
Segmentation robustness tool
Improving semantic segmentation robustness to motion blur using custom data augmentation techniques
6 stars
1 watching
0 forks
Language: Python
last commit: over 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of line segment detection using convolutional neural networks and a coupled region coloring problem | 297 |
| This project provides a Python implementation of various deep learning architectures for pixel-wise segmentation tasks. | 384 |
| An implementation of a deep learning model for semantic segmentation using a novel attention mechanism to capture long-range dependencies in images. | 1,432 |
| A Python implementation of a federated learning approach to personalized medical image segmentation | 46 |
| Monorepo implementing PyTorch-based neural network architecture for image segmentation | 1,787 |
| Reconstructs high-quality video frames from two adjacent rolling shutter camera frames | 31 |
| A Python package providing metrics and tools for evaluating image segmentation models | 282 |
| Software to interpolate blurry video frames and enhance image quality | 209 |
| Provides tools and data for developing image segmentation models with diverse object categories. | 463 |
| A software framework for training and evaluating full-resolution residual networks for semantic image segmentation tasks | 280 |
| A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
| An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |
| A Python implementation of semantic segmentation using adversarial networks | 104 |
| An implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation | 18 |
| An implementation of a BiSeNet-based semantic segmentation algorithm using PyTorch and PyTorch's Deep Learning Framework | 395 |