UPSNet
Segmentation model
Develops an instance segmentation and panoptic segmentation model for computer vision tasks.
UPSNet: A Unified Panoptic Segmentation Network
648 stars
28 watching
119 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list
computer-visioncvpr2019deep-learninginstance-segmentationpanoptic-segmentationscene-parsing
Related projects:
Repository | Description | Stars |
---|---|---|
| A PyTorch implementation of a deep learning model for semantic image segmentation | 1,598 |
| A convolutional neural network architecture for biomedical image segmentation | 430 |
| Deep learning models for semantic segmentation of images | 101 |
| An implementation of a deep learning model for semantic segmentation using a novel attention mechanism to capture long-range dependencies in images. | 1,432 |
| An implementation of a deep learning model for image segmentation using TensorFlow and Keras | 394 |
| Develops an efficient network architecture for semantic segmentation of high-resolution remote sensing images. | 34 |
| A TensorFlow-based implementation of a semantic segmentation network for image classification tasks | 326 |
| A deep neural network implementation for real-time semantic segmentation in computer vision | 257 |
| A PyTorch implementation of a segmentation network architecture | 588 |
| An implementation of a fully convolutional network-based road segmentation model using TensorFlow. | 911 |
| An open-source implementation of an image segmentation model that combines background removal and object detection capabilities. | 1,484 |
| PyTorch implementation of a deep learning model for image segmentation | 90 |
| An implementation of a deep learning-based semantic segmentation model using TensorFlow and the PSNet loss function. | 47 |
| A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
| A fast and robust algorithm to segment 3D point clouds generated by Velodyne sensors into objects. | 1,212 |