Models
SegFormer vs. YOLOS

SegFormer vs. YOLOS

Both SegFormer and YOLOS are commonly used in computer vision projects. Below, we compare and contrast SegFormer and YOLOS.

Models

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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
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YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
Model Type
Semantic Segmentation
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Object Detection
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformers
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Transformer, YOLO
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
2.2k+
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812+
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License
NVIDIA Source Code
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MIT
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Training Notebook

Compare SegFormer and YOLOS with Autodistill