semantic-segmentation-tensorflow
Segmentation model
Implementation of semantic segmentation models on two datasets using TensorFlow
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
84 stars
6 watching
37 forks
Language: Python
last commit: over 6 years ago
Linked from 1 awesome list
ade20kcityscapesenetfcn-8sicnetpspnetsemantic-segmentationtensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
hellochick/pspnet-tensorflow | A TensorFlow-based implementation of a semantic segmentation network for image classification tasks | 326 |
hellochick/icnet-tensorflow | An implementation of real-time semantic segmentation using a deep neural network architecture, | 406 |
fregu856/segmentation | An implementation of the ENet model for semantic segmentation in images, trained on the Cityscapes dataset. | 245 |
pierluigiferrari/fcn8s_tensorflow | An implementation of FCN-8s architecture for semantic image segmentation using TensorFlow | 51 |
kwotsin/tensorflow-enet | A deep neural network implementation for real-time semantic segmentation in computer vision | 257 |
shekkizh/fcn.tensorflow | An implementation of a deep learning model for image segmentation using TensorFlow | 1,252 |
itijyou/ademxapp | This is an open-source implementation of a deep learning model for semantic image segmentation and image classification. | 340 |
tkuanlun350/tensorflow-segnet | A TensorFlow-based implementation of the SegNet segmentation algorithm, with modifications to address index unravel issues and support multiple features such as dilation and multi-resolution learning. | 369 |
oandrienko/fast-semantic-segmentation | Real-time semantic segmentation using optimized network architectures | 220 |
preritj/segmentation | Deep learning models for semantic segmentation of images | 100 |
davidtvs/pytorch-enet | A PyTorch implementation of a real-time semantic segmentation model using ENet architecture | 389 |
andreaazzini/segnet.tf | An implementation of a segmentation network in TensorFlow for image classification and object detection tasks. | 66 |
ykamikawa/tf-keras-segnet | An implementation of SegNet architecture for semantic segmentation using tensorflow and keras. | 178 |
speedinghzl/ccnet | An implementation of a deep learning model for semantic segmentation using a novel attention mechanism to capture long-range dependencies in images. | 1,426 |
seewalker/tf-pixelwise | A tensorflow implementation of Fully Convolutional Networks For Semantic Segmentation | 13 |