RIS
Instance segmentation algorithm
Reimplements a method for segmenting instances in images using recurrent neural networks.
Implementation of the approach described in the paper "Recurrent Instance Segmentation" https://arxiv.org/abs/1511.08250.
27 stars
7 watching
17 forks
Language: Jupyter Notebook
last commit: over 8 years ago
Linked from 1 awesome list
mrgloom/awesome-semantic-segmentationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 renmengye/rec-attend-public | An implementation of end-to-end instance segmentation using recurrent attention | 110 |
 zjhuang22/maskscoring_rcnn | An open source implementation of Mask Scoring R-CNN for instance segmentation tasks. | 1,901 |
 daijifeng001/mnc | An instance-aware semantic segmentation system based on deep convolutional networks using multi-task network cascades. | 489 |
 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 |
 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 |
 msracver/fcis | An implementation of a fully convolutional instance-aware semantic segmentation framework using CUDA. | 1,567 |
 google/uis-rnn | This library provides an implementation of an algorithm for segmenting and clustering sequential data, learning from examples. | 1,564 |
 gothicai/instaboost | Implementation of instance segmentation via probability map guided copy-pasting | 399 |
 oyam/semantic-segmentation-using-adversarial-networks | A Python implementation of semantic segmentation using adversarial networks | 104 |
 kuangjuihsu/deepco3 | A deep learning framework for instance co-segmentation and object colocalization | 137 |
 wxinlong/solo | An implementation of instance segmentation algorithms using PyTorch. | 1,714 |
 simonkohl/probabilistic_unet | Reimplementation of a neural network model for conditional segmentation of ambiguous images | 548 |
 martinkersner/train-crf-rnn | Trains a CRF-RNN model for semantic image segmentation using the PASCAL VOC dataset. | 199 |
 liruilong940607/pose2seg | An implementation of human instance segmentation based on pose estimation | 529 |