- U-Net
- SegNet
- DeepLab
- https://bitbucket.org/deeplab/deeplab-public/
- https://github.com/cdmh/deeplab-public
- https://bitbucket.org/aquariusjay/deeplab-public-ver2
- http://ccvl.stat.ucla.edu/software/deeplab/deeplab/
- https://github.com/TheLegendAli/DeepLab-Context
- https://github.com/NVIDIA/DIGITS/tree/master/examples/binary-segmentation
- https://github.com/NVIDIA/DIGITS/tree/master/examples/semantic-segmentation
- Fully-Convolutional Network (FCN)
- https://github.com/vlfeat/matconvnet-fcn [MatConvNet]
- https://github.com/shelhamer/fcn.berkeleyvision.org [Caffe]
- https://github.com/MarvinTeichmann/tensorflow-fcn [Tensorflow]
- https://github.com/aurora95/Keras-FCN [Keras]
- https://github.com/mzaradzki/neuralnets/tree/master/vgg_segmentation_keras [Keras]
- ENet
- DenseNet
- DilatedNet
- PixelNet
- ICNet
- https://github.com/hszhao/ICNet [Caffe]
-
Keras
-
TensorFlow
-
Caffe
-
torch
-
MatConvNet
-
MXNet
-
Simultaneous detection and segmentation
-
Learning Deconvolution Network for Semantic Segmentation
-
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
-
Learning to Propose Objects
-
Nonparametric Scene Parsing via Label Transfer
-
Other
- https://github.com/cvjena/cn24
- http://lmb.informatik.uni-freiburg.de/resources/software.php
- https://github.com/hszhao/PSPNet
- https://github.com/NVIDIA/DIGITS/tree/master/examples/semantic-segmentation
- https://github.com/daijifeng001/MNC
- https://github.com/voidrank/FastMask
- http://jamie.shotton.org/work/code.html
- https://github.com/amueller/textonboost
- https://github.com/cvlab-epfl/densecrf
- http://vladlen.info/publications/efficient-inference-in-fully-connected-crfs-with-gaussian-edge-potentials/
- http://www.philkr.net/home/densecrf
- http://graphics.stanford.edu/projects/densecrf/
- https://github.com/amiltonwong/segmentation/blob/master/segmentation.ipynb
- https://github.com/jliemansifry/super-simple-semantic-segmentation
- http://users.cecs.anu.edu.au/~jdomke/JGMT/
- https://www.quora.com/How-can-one-train-and-test-conditional-random-field-CRF-in-Python-on-our-own-training-testing-dataset
- https://github.com/tpeng/python-crfsuite
- https://github.com/chokkan/crfsuite
- https://sites.google.com/site/zeppethefake/semantic-segmentation-crf-baseline
- https://github.com/lucasb-eyer/pydensecrf
- https://github.com/fvisin/reseg
- https://github.com/torrvision/crfasrnn
- https://github.com/bernard24/RIS
- https://github.com/martinkersner/train-CRF-RNN
- https://github.com/NP-coder/CLPS1520Project [Tensorflow]
-
DIGITS
-
U-Net: Convolutional Networks for Biomedical Image Segmentation
- http://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/
- apache/mxnet#1514
- https://github.com/orobix/retina-unet
- https://github.com/fvisin/reseg
- https://github.com/yulequan/melanoma-recognition
- http://www.andrewjanowczyk.com/use-case-1-nuclei-segmentation/
- https://github.com/junyanz/MCILBoost
- https://github.com/imlab-uiip/lung-segmentation-2d
- https://github.com/scottykwok/cervix-roi-segmentation-by-unet
- https://github.com/WeidiXie/cell_counting_v2
-
Cascaded-FCN
-
Keras
-
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)
-
Papers:
-
Data:
- https://github.com/mshivaprakash/sat-seg-thesis
- https://github.com/KGPML/Hyperspectral
- https://github.com/lopuhin/kaggle-dstl
- https://github.com/mitmul/ssai
- https://github.com/mitmul/ssai-cnn
- https://github.com/azavea/raster-vision
- https://github.com/AKSHAYUBHAT/ImageSegmentation
- https://github.com/kyamagu/js-segment-annotator
- https://github.com/CSAILVision/LabelMeAnnotationTool
- https://github.com/seanbell/opensurfaces-segmentation-ui
- https://github.com/lzx1413/labelImgPlus
- Stanford Background Dataset
- Sift Flow Dataset
- Barcelona Dataset
- Microsoft COCO dataset
- MSRC Dataset
- LITS Liver Tumor Segmentation Dataset
- KITTI
- Stanford background dataset
- Data from Games dataset