Entity
EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation (by qqlu)
rankseg
[JMLR 2023] RankSEG: A consistent ranking-based framework for segmentation (by statmlben)
Entity | rankseg | |
---|---|---|
2 | 1 | |
668 | 15 | |
2.2% | - | |
6.9 | 4.6 | |
5 months ago | 8 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 or later | 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.
Entity
Posts with mentions or reviews of Entity.
We have used some of these posts to build our list of alternatives
and similar projects.
- Open-world entity segmentation: eliminates the thing-stuff distinction!
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[R] Open-World Entity Segmentation (Better dense image segmentation without labels)
Abstract: We introduce a new image segmentation task, termed Entity Segmentation (ES) with the aim to segment all visual entities in an image without considering semantic category labels. It has many practical applications in image manipulation/editing where the segmentation mask quality is typically crucial but category labels are less important. In this setting, all semantically-meaningful segments are equally treated as categoryless entities and there is no thing-stuff distinction. Based on our unified entity representation, we propose a center-based entity segmentation framework with two novel modules to improve mask quality. Experimentally, both our new task and framework demonstrate superior advantages as against existing work. In particular, ES enables the following: (1) merging multiple datasets to form a large training set without the need to resolve label conflicts; (2) any model trained on one dataset can generalize exceptionally well to other datasets with unseen domains. Our code is made publicly available at this https URL.
rankseg
Posts with mentions or reviews of rankseg.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[R] RankSEG: A Consistent Ranking-based Framework for Segmentation
Github website: https://github.com/statmlben/rankseg
What are some alternatives?
When comparing Entity and rankseg you can also consider the following projects:
flying-guide-dog - Official implementation of "Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation", IEEE ROBIO 2021
notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.