awesome-domain-adaptation
A collection of AWESOME things about domian adaptation (by zhaoxin94)
Composite-Image-Generator
Semi-sythetic data generator using the "copy - paste" method. (by andrewjouffray)
| awesome-domain-adaptation | Composite-Image-Generator | |
|---|---|---|
| 1 | 2 | |
| 4,905 | 9 | |
| - | - | |
| 6.0 | 2.2 | |
| about 1 month ago | about 1 year ago | |
| C++ | ||
| 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.
awesome-domain-adaptation
Posts with mentions or reviews of awesome-domain-adaptation.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-30.
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Segmentation on synthetic images does not generalize on experimental data.
This is a typical problem of domain adaptation. You can look up papers related to it here: https://github.com/zhaoxin94/awesome-domain-adaptation
Composite-Image-Generator
Posts with mentions or reviews of Composite-Image-Generator.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-30.
-
Segmentation on synthetic images does not generalize on experimental data.
Roboflow makes it easier to create masks for images that you want to segment. If you are trying to segment object that you can hold in your hands, you can give https://github.com/andrewjouffray/salient-extract a try to collect data and then you can use https://github.com/andrewjouffray/Composite-Image-Generator to generate real-looking data.
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[P] I built a salient feature extraction model to collect image data straight out of your hands.
here is my code for generating this dataset: https://github.com/andrewjouffray/Composite-Image-Generator
What are some alternatives?
When comparing awesome-domain-adaptation and Composite-Image-Generator you can also consider the following projects:
salient-extract - Salient feature extractor based on yoloV8
awesome-artificial-intelligence-research - A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习