STEGO
Unsupervised Semantic Segmentation by Distilling Feature Correspondences (by mhamilton723)
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. (by Psarpei)
| STEGO | Subway-Station-Hazard-Detection | |
|---|---|---|
| 1 | 4 | |
| 683 | 11 | |
| - | - | |
| 0.0 | 0.0 | |
| about 1 year ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT 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.
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.
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
Code: https://github.com/mhamilton723/STEGO
Subway-Station-Hazard-Detection
Posts with mentions or reviews of Subway-Station-Hazard-Detection.
We have used some of these posts to build our list of alternatives
and similar projects.
- Subway Station Hazard Detection - 3D simulation based recognition of hazards in subway stations with the help of a convolutional neural network
-
Subway Station Hazard Detection
Check it out on my GitHub: https://github.com/Psarpei/Subway-Station-Hazard-Detection
- Subway Station Hazard Detection - A Simulation based hazard Detection with convolutional neural networks for Computer Vision
What are some alternatives?
When comparing STEGO and Subway-Station-Hazard-Detection you can also consider the following projects:
rankseg - [JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation
ml-course - Open Machine Learning course
SegGradCAM - SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
3D-Public-Transport-Simulator - The 3D Public Transport Simulator is a Unity-based simulation, which uses OpenStreetMap data in order to support the simulation of worldwide locations. The development was part of a Bachelor thesis.
pytorch-segmentation - :art: Semantic segmentation models, datasets and losses implemented in PyTorch.