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awesome-road-environment-segmentation

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Awesome lists about segmentation in road environment 😁

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# Awesome Road Environment Segmentation

![Example of cityscapes](https://raw.githubusercontent.com/DaveLogs/awesome-road-environment-segmentation/master/images/cityscapes.png)

Captured from Cityscapes (https://www.cityscapes-dataset.com/examples/)

## Networks by architecture

#### DeepLabv3+ [*paper*](https://arxiv.org/abs/1802.02611)

- *[Tensorflow]* https://github.com/tensorflow/models/tree/master/research/deeplab
- *[Tensorflow]* https://github.com/tantara/JejuNet
- *[Tensorflow]* https://github.com/parachutel/deeplabv3plus_on_Mapillary_Vistas
- *[Keras]* https://github.com/bonlime/keras-deeplab-v3-plus
- *[Keras]* https://github.com/Golbstein/Keras-segmentation-deeplab-v3.1
- *[PyTorch]* https://github.com/jfzhang95/pytorch-deeplab-xception
- *[PyTorch]* https://github.com/y-ouali/pytorch_segmentation
- [*more...*](https://paperswithcode.com/paper/encoder-decoder-with-atrous-separable#code)

#### HRNetV2 [*paper*](https://arxiv.org/abs/1909.11065)

- *[PyTorch]* https://github.com/openseg-group/openseg.pytorch
- *[PyTorch]* https://github.com/PkuRainBow/OCNet.pytorch
- *[PyTorch]* https://github.com/HRNet/HRNet-Semantic-Segmentation
- [*more...*](https://paperswithcode.com/paper/object-contextual-representations-for#code)

##  Datasets

| Name | Categories | Volume | Link |
| ------------------------------------------------------------ | ------------------------------- | --------------------------- | ------------------------------------------------------------ |
| [**Cityscapes**](https://www.cityscapes-dataset.com/) | road, sidewalk, guard rail, ... | 30 classes / 25,000 images | [*Features*](https://www.cityscapes-dataset.com/dataset-overview/#features) |
| [**Mapillary (Vistas)**](https://www.mapillary.com/dataset/vistas) | road, curb, barrier, wall, ... | 152 classes / 25,000 images | [*Features*](https://www.mapillary.com/dataset/vistas) |
| [**A2D2**](https://www.audi-electronics-venture.de/aev/web/en/driving-dataset.html)1) | road, sidebars, curbstone, ... | 38 classes / 41,280 images | [*Features*](https://www.audi-electronics-venture.de/aev/web/en/driving-dataset/dataset.html) |
| [**ApolloScape (Scene Parsing)**](http://apolloscape.auto/scene.html) | road, sidewalk, fence, ... | 37 classes / 74,555 images | [*Features*](http://apolloscape.auto/scene.html) |
| [**DeepDrive**](https://bdd-data.berkeley.edu/)2) | road, sidewalk, guard rail, ... | 40 classes / 10,000 images | [*Features*](https://bdd-data.berkeley.edu/) |
| [**KITTI**](http://www.cvlibs.net/datasets/kitti/)2) | road, sidewalk, guard rail, ... | 34 classes / 400 images | [*Features*](http://www.cvlibs.net/datasets/kitti/eval_semseg.php?benchmark=semantics2015) |

1) A2D2: AEV(Audi Electronics Venture) Autonomous Driving Dataset

2) Class code inspired by 'cityscapes'. [(ref.)](https://github.com/mcordts/cityscapesScripts/blob/master/cityscapesscripts/helpers/labels.py)

## Annotation tools

- https://github.com/wkentaro/labelme
- https://github.com/labelbox/labelbox
- https://github.com/abreheret/PixelAnnotationTool
- https://github.com/buni-rock/Pixie
- http://www.robots.ox.ac.uk/~vgg/software/via/via.html
- https://github.com/opencv/cvat

## Getting Started Guide

- [A Keras Pipeline for Image Segmentation](https://towardsdatascience.com/a-keras-pipeline-for-image-segmentation-part-1-6515a421157d)
- [A Beginner's guide to Deep Learning based Semantic Segmentation using Keras](https://divamgupta.com/image-segmentation/2019/06/06/deep-learning-semantic-segmentation-keras.html)
- [Example of semantic segmentation in Keras](https://github.com/mrgloom/keras-semantic-segmentation-example)

## Benchmarks

- Papers with code: https://paperswithcode.com/task/semantic-segmentation
- Cityscapes: https://www.cityscapes-dataset.com/benchmarks/#scene-labeling-task
- KITTI: http://www.cvlibs.net/datasets/kitti/eval_semseg.php?benchmark=semantics2015
- WildDash: http://www.wilddash.cc/benchmark/summary_tbl?hc=semantic_rob
- Robust Vision Challenge: http://www.robustvision.net/leaderboard.php?benchmark=semantic
- MIT Scene Parsing Benchmark: http://sceneparsing.csail.mit.edu/

## Evaluation of benchmarks

- Cityscapes: https://github.com/mcordts/cityscapesScripts
- Mapillary: https://github.com/mapillary/mapillary_vistas
- DeepDrive: https://github.com/ucbdrive/bdd-data/blob/master/bdd_data/evaluate.py
- MIT: https://github.com/CSAILVision/sceneparsing/tree/master/evaluationCode

## Papers, blog posts and others

#### Papers

- [***DeepLabv1***, 2015] [Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs](https://arxiv.org/abs/1412.7062)
- [***DeepLabv2***, 2017] [DeepLab : Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs](https://arxiv.org/abs/1606.00915)
- [***DeepLabv3***, 2017] [Rethinking Atrous Convolution for Semantic Image Segmentation](https://arxiv.org/abs/1706.05587)
- [***DeepLabv3+***, 2018] [Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation](https://arxiv.org/abs/1802.02611)
- [***HRNetV2***, 2019] [Object-Contextual Representations for Semantic Segmentation](https://arxiv.org/abs/1909.11065)

#### Blog posts

- [DeepLab V3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation](https://blog.lunit.io/2018/07/02/deeplab-v3-encoder-decoder-with-atrous-separable-convolution-for-semantic-image-segmentation/)
- [DeepLabv3: Semantic Image Segmentation](https://towardsdatascience.com/deeplabv3-c5c749322ffa)
- [DeepLabv3+ on your own dataset](http://hellodfan.com/2018/07/06/DeepLabv3-with-own-dataset/)
- [Xception: Deep Learning with Depthwise Separable Convolutions](https://eremo2002.tistory.com/52)
- [Semantic Segmentation (FCN, Fully Convolutional Network)](https://seongkyun.github.io/study/2019/12/08/segmentation/)
- [Semantic Segmentation: Introduction to the Deep Learning Technique Behind Google Pixel’s Camera!](https://www.analyticsvidhya.com/blog/2019/02/tutorial-semantic-segmentation-google-deeplab/)

#### Awesome series

- https://github.com/mrgloom/awesome-semantic-segmentation
- https://github.com/nightrome/really-awesome-semantic-segmentation
- https://github.com/Tramac/awesome-semantic-segmentation-pytorch

#### Reference repositories

- https://github.com/GeorgeSeif/Semantic-Segmentation-Suite
- https://github.com/MSiam/TFSegmentation
- https://github.com/qubvel/segmentation_models
- https://github.com/divamgupta/image-segmentation-keras
- https://github.com/NVIDIA/semantic-segmentation

#### Others

- [Semantic Segmentation Datasets for Urban Driving Scenes](https://autonomous-driving.org/2018/07/15/semantic-segmentation-datasets-for-urban-driving-scenes/)
- [Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving](https://boschresearch.github.io/multimodalperception/index.html)
- [List of annotation tools for machine learning research](https://www.simonwenkel.com/2019/07/19/list-of-annotation-tools-for-machine-learning-research.html)
- [Annotation tools for building datasets](https://www.datasetlist.com/tools/)
- [Machine learning datasets](https://www.datasetlist.com/)
- [The Berkeley Artificial Intelligence Research Blog](https://bair.berkeley.edu/blog/)

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