train-CRF-RNN
Image Segmentation Framework
A Python-based framework for training Conditional Random Field Recurrent Neural Networks (CRF-RNN) for semantic image segmentation
Train CRF-RNN for Semantic Image Segmentation
199 stars
14 watching
92 forks
Language: Python
last commit: about 7 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
martinkersner/train-deeplab | Trains DeepLab for semantic image segmentation using annotated data and convolutional neural networks | 172 |
sadeepj/crfasrnn_keras | This repository provides a Keras/Tensorflow implementation of Conditional Random Fields as Recurrent Neural Networks for semantic image segmentation. | 603 |
muyang0320/tensorflow-deeplab-resnet-crf | An implementation of DeepLab-ResNet in TensorFlow for semantic image segmentation | 18 |
torrvision/crfasrnn | A deep learning-based method for semantic image segmentation using conditional random fields and recurrent neural networks | 1,342 |
tobypde/frrn | A software framework for training and evaluating full-resolution residual networks for semantic image segmentation tasks | 280 |
mhjabreel/stf-rnn | Recurrent neural network model for predicting people's next location based on spatial and temporal features | 28 |
ibm/max-inception-resnet-v2 | An image classification model using a third-generation deep residual network. | 28 |
ibm/max-resnet-50 | An image classification model using the ResNet-50 architecture, trained on the ImageNet dataset. | 14 |
zjhuang22/maskscoring_rcnn | An open source implementation of Mask Scoring R-CNN for instance segmentation tasks. | 1,900 |
zfturbo/keras-mask-rcnn-for-open-images-2019-instance-segmentation | Provides pre-trained Mask R-CNN models and example code for instance segmentation on the Open Images Dataset | 56 |
preritj/segmentation | Deep learning models for semantic segmentation of images | 100 |
timosaemann/enet | A deep neural network architecture for real-time semantic segmentation in images | 584 |
zfturbo/zf_unet_224_pretrained_model | A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
k3nt0w/fcn_via_keras | A Python implementation of a deep neural network architecture for semantic image segmentation | 48 |
tramac/fast-scnn-pytorch | A PyTorch implementation of a deep learning model for semantic segmentation tasks in computer vision. | 381 |