mobile-semantic-segmentation
Mobile segmentation model
Real-time semantic segmentation for mobile devices using deep learning and MobileNetV2 architecture
Real-Time Semantic Segmentation in Mobile device
715 stars
37 watching
135 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list
androidcoremldeep-learningioslfwmobilenetspythonpytorchsemantic-segmentationtensorflowu-net
Related projects:
Repository | Description | Stars |
---|---|---|
| Implementations of deep learning architectures for semantic segmentation of images in various datasets. | 6 |
| Provides implementations of lightweight neural network models for real-time semantic segmentation. | 357 |
| Real-time semantic segmentation using optimized network architectures | 220 |
| An implementation of a deep learning model for real-time semantic segmentation | 255 |
| A lightweight deep learning framework for real-time semantic segmentation | 514 |
| This project presents an approach to improving the performance of convolutional neural networks in semantic segmentation tasks | 613 |
| An implementation of semantic segmentation using fully convolutional networks | 188 |
| Provides PyTorch implementations of various models and pipelines for semantic segmentation in deep learning. | 1,729 |
| A Python implementation of semantic segmentation using adversarial networks | 104 |
| A deep neural network architecture for real-time semantic segmentation in images | 585 |
| A PyTorch-based toolbox for building and training semantic segmentation models | 408 |
| Research into efficient neural networks for semantic image segmentation in autonomous driving applications | 719 |
| 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 |
| Develops deep learning models to classify and annotate pixel-level details in satellite images | 21 |