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

A list of papers on Semantic Segmentation.
https://github.com/nightrome/really-awesome-semantic-segmentation

List: really-awesome-semantic-segmentation

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A list of papers on Semantic Segmentation.

• Host: GitHub
• URL: https://github.com/nightrome/really-awesome-semantic-segmentation
• Owner: nightrome
• Created: 2017-04-03T16:36:35.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-03-16T22:11:26.000Z (over 6 years ago)
• Last Synced: 2024-05-22T08:34:30.511Z (6 months ago)
• Size: 29.3 KB
• Stars: 402
• Watchers: 36
• Forks: 88
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-of-awesome-ml - really-awesome-semantic-segmentation (by nightrome)

README

        
# really-awesome-semantic-segmentation

A list of all papers on Semantic Segmentation and the datasets they use.

This site is maintained by Holger Caesar. From March 15, 2018, it will not be updated anymore.

To complement or correct it, please contact me at holger-at-it-caesar.com or visit [it-caesar.com](http://www.it-caesar.com). Also checkout [really-awesome-gan](https://github.com/nightrome/really-awesome-gan) and our [COCO-Stuff dataset](https://github.com/nightrome/cocostuff).

# Dataset importance

![Dataset importance plot](http://www.it-caesar.com/github/Dataset_importance.png?raw=true "Dataset importance plot")

# Details

For details which paper uses which dataset, please open the [Google Drive document](https://docs.google.com/spreadsheets/d/1r1PNqpcNyo3E8enQdBz-zze7nMiOUd4lb890WPh7aII/edit?usp=sharing).

# Survey papers

- [RTSeg: Real-time Semantic Segmentation Comparative Study](https://arxiv.org/abs/1803.02758)

- [Indoor Scene Understanding in 2.5/3D: A Survey](https://arxiv.org/abs/1803.03352)

- [A 2017 Guide to Semantic Segmentation with Deep Learning by Qure AI](http://blog.qure.ai/notes/semantic-segmentation-deep-learning-review)

- [A Review on Deep Learning Techniques Applied to Semantic Segmentation](https://arxiv.org/abs/1704.06857)

- [Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art](https://arxiv.org/abs/1704.05519) [[Webpage]](http://www.cvlibs.net/projects/autonomous_vision_survey/)

# Online demos

- [CRF as RNN](http://www.robots.ox.ac.uk/~szheng/crfasrnndemo)

- [SegNet](http://mi.eng.cam.ac.uk/projects/segnet/demo.php#demo)