Models
4M vs. SegFormer

4M vs. SegFormer

Both 4M and SegFormer are commonly used in computer vision projects. Below, we compare and contrast 4M and SegFormer.

Models

icon-model

4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language tasks.
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SegFormer

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
Model Type
Multimodal Model
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Semantic Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
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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
1.1k
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2.2k+
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License
Apache 2.0
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NVIDIA Source Code
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Training Notebook

Compare 4M and SegFormer with Autodistill

Models

4M vs. SegFormer

.

Both

4M

and

SegFormer

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

4M

and

SegFormer
  4M SegFormer
Date of Release Jun 24, 2024 May 31, 2021
Model Type Multimodal Model Semantic Segmentation
Architecture Transformers
GitHub Stars 800 2200

4M

The 4M model is a versatile multimodal Transformer model developed by EPFL and Apple, capable of handling a handful of vision and language tasks.

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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