EfficientNet vs. SegFormer: Compared and Contrasted

Models

EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.

Learn more about EfficientNet

SegFormer

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

Learn more about SegFormer

Model Type

Classification

Semantic Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN

Transformers

Frameworks

Keras

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

2.2k+

License

NVIDIA Source Code

Paper

Training Notebook

Deploy Model

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EfficientNet vs. SegFormer

Both

EfficientNet

and

SegFormer

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

EfficientNet

and

SegFormer

	EfficientNet	SegFormer
Date of Release	May 28, 2019	May 31, 2021
Model Type	Classification	Semantic Segmentation
Architecture	CNN	Transformers
GitHub Stars	7200	2200

EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix