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

icon-model

SegFormer

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

Models

SegFormer vs. YOLOS

.

Both

SegFormer

and

YOLOS

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

SegFormer

and

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

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

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

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