pytorch-segmentation vs STEGO

pytorch-segmentation

:art: Semantic segmentation models, datasets and losses implemented in PyTorch. (by yassouali)

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STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences (by mhamilton723)

Computer Vision Deep Learning iclr2022 Pytorch semantic-segmentation unsupervised-learning

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pytorch-segmentation		STEGO
	Project
1	Mentions	1
1,571	Stars	683
-	Growth	-
6.7	Activity	0.0
about 1 month ago	Latest Commit	about 1 year ago
Jupyter Notebook	Language	Jupyter Notebook
MIT License	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pytorch-segmentation

Posts with mentions or reviews of pytorch-segmentation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-25.

Any luck training Segnet?
2 projects | /r/learnmachinelearning | 25 May 2023

So I have read the paper on segnet and understood its architechture, and how the corresponding model has been written on the segnet.py file. I have a dataset and segmentation masks (in PNG). I came across the code given in this repo: https://github.com/yassouali/pytorch-segmentation

STEGO

Posts with mentions or reviews of STEGO. We have used some of these posts to build our list of alternatives and similar projects.

MIT Team Introduces STEGO: An Algorithm That Can Jointly Detect And Segment Things Down To The Last Pixel Without Any Human
1 project | /r/computervision | 22 Apr 2022

Code: https://github.com/mhamilton723/STEGO

What are some alternatives?

When comparing pytorch-segmentation and STEGO you can also consider the following projects:

Human-Segmentation-PyTorch - Human segmentation models, training/inference code, and trained weights, implemented in PyTorch

rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation

PixelLib - Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

SegGradCAM - SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

Subway-Station-Hazard-Detection - This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation.

super-gradients - Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.