FCN_via_keras
Image Segmentation Network
A Python implementation of a deep neural network architecture for semantic image segmentation
48 stars
9 watching
21 forks
Language: Python
last commit: over 8 years ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend. | 15 |
| | Keras implementation of Fully Convolutional Networks for Semantic Segmentation | 650 |
| | An implementation of a deep learning model for image segmentation using TensorFlow and Keras | 394 |
| | A deep learning framework for real-time image segmentation on high-resolution images using convolutional neural networks | 86 |
| | An implementation of a deep learning model for image segmentation using Keras and dilated convolutions | 301 |
| | An implementation of a deep neural network architecture for real-time semantic segmentation in Python. | 115 |
| | An implementation of semantic segmentation using fully convolutional networks | 188 |
| | This repository provides a Keras/Tensorflow implementation of Conditional Random Fields as Recurrent Neural Networks for semantic image segmentation. | 603 |
| | A convolutional neural network architecture for biomedical image segmentation | 430 |
| | This code implements a neural network architecture designed to perform semantic segmentation in computer vision tasks. | 920 |
| | This project demonstrates basic semantic segmentation using a deep neural network in Keras. | 56 |
| | Deep learning models for semantic segmentation of images | 101 |
| | An implementation of a fully convolutional network architecture for image segmentation using VGG weights. | 1,102 |
| | A Python implementation of semantic segmentation using adversarial networks | 104 |
| | A basic implementation of a fully convolutional network (FCN) for image segmentation in TensorFlow. | 9 |