OneFormer VS Vision-Project-Image-Segmentation

Compare OneFormer vs Vision-Project-Image-Segmentation and see what are their differences.

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OneFormer Vision-Project-Image-Segmentation
1 1
1,342 0
2.2% -
3.4 2.6
7 months 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.

OneFormer

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

Vision-Project-Image-Segmentation

Posts with mentions or reviews of Vision-Project-Image-Segmentation. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing OneFormer and Vision-Project-Image-Segmentation you can also consider the following projects:

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

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

PaddleSeg - Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

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

HRNet-Semantic-Segmentation - The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

SipMask - SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)

Real-time-Semantic-Segmentation