Models
YOLOS vs. SegFormer

YOLOS vs. SegFormer

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

Models

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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.
Learn more about YOLOS
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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Learn more about SegFormer
Model Type
Object Detection
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Semantic Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
Transformer, YOLO
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Transformers
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Frameworks
PyTorch
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
812+
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2.2k+
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License
MIT
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NVIDIA Source Code
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Training Notebook

Compare YOLOS and SegFormer with Autodistill

Models

YOLOS vs. SegFormer

.

Both

YOLOS

and

SegFormer

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

YOLOS

and

SegFormer
  YOLOS SegFormer
Date of Release Jun 01, 2021 May 31, 2021
Model Type Object Detection Semantic Segmentation
Architecture Transformer, YOLO Transformers
GitHub Stars 812 2200

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

SegFormer

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

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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