Keras-ICNet
Image segmentation framework
A deep learning framework for real-time image segmentation on high-resolution images using convolutional neural networks
Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images
86 stars
8 watching
33 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list
autonomous-drivingcomputer-visiondeep-learningfully-convolutional-networksimage-processingimage-segmentationkerassemantic-segmentationtensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of a deep learning model for image segmentation using Keras and dilated convolutions | 301 |
| An implementation of a deep learning model for image segmentation using TensorFlow and Keras | 394 |
| A Python implementation of a deep neural network architecture for semantic image segmentation | 48 |
| Keras implementation of Fully Convolutional Networks for Semantic Segmentation | 650 |
| This repository provides a Keras/Tensorflow implementation of Conditional Random Fields as Recurrent Neural Networks for semantic image segmentation. | 603 |
| A software framework for training and evaluating full-resolution residual networks for semantic image segmentation tasks | 280 |
| Deep learning models for semantic segmentation of images | 101 |
| A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
| A high-level deep learning framework for building and training neural networks on multiple backend engines | 62,196 |
| A convolutional neural network architecture for biomedical image segmentation | 430 |
| A deep neural network architecture for real-time semantic segmentation in images | 585 |
| An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend. | 15 |
| Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
| An implementation of a deep learning architecture for image segmentation using the Keras framework. | 185 |
| This project demonstrates basic semantic segmentation using a deep neural network in Keras. | 56 |