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Networks by architecture
DeepLabv3+ paper
- [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...
HRNetV2 paper
- [PyTorch] https://github.com/openseg-group/openseg.pytorch
- [PyTorch] https://github.com/PkuRainBow/OCNet.pytorch
- [PyTorch] https://github.com/HRNet/HRNet-Semantic-Segmentation
- more...
Datasets
Name | Categories | Volume | Link |
---|---|---|---|
Cityscapes | road, sidewalk, guard rail, ... | 30 classes / 25,000 images | Features |
Mapillary (Vistas) | road, curb, barrier, wall, ... | 152 classes / 25,000 images | Features |
A2D21) | road, sidebars, curbstone, ... | 38 classes / 41,280 images | Features |
ApolloScape (Scene Parsing) | road, sidewalk, fence, ... | 37 classes / 74,555 images | Features |
DeepDrive2) | road, sidewalk, guard rail, ... | 40 classes / 10,000 images | Features |
KITTI2) | road, sidewalk, guard rail, ... | 34 classes / 400 images | Features |
1) A2D2: AEV(Audi Electronics Venture) Autonomous Driving Dataset
2) Class code inspired by 'cityscapes'. (ref.)
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
- A Beginner's guide to Deep Learning based Semantic Segmentation using Keras
- Example of semantic segmentation in Keras
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
- [DeepLabv2, 2017] DeepLab : Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- [DeepLabv3, 2017] Rethinking Atrous Convolution for Semantic Image Segmentation
- [DeepLabv3+, 2018] Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
- [HRNetV2, 2019] Object-Contextual Representations for Semantic Segmentation
Blog posts
- DeepLab V3+: Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
- DeepLabv3: Semantic Image Segmentation
- DeepLabv3+ on your own dataset
- Xception: Deep Learning with Depthwise Separable Convolutions
- Semantic Segmentation (FCN, Fully Convolutional Network)
- Semantic Segmentation: Introduction to the Deep Learning Technique Behind Google Pixel’s Camera!
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
- Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving
- List of annotation tools for machine learning research
- Annotation tools for building datasets
- Machine learning datasets
- The Berkeley Artificial Intelligence Research Blog
https://github.com/DaveLogs/awesome-road-environment-segmentation
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