Faster R-CNN vs. SegFormer: Compared and Contrasted

Models

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

Learn more about Faster R-CNN

SegFormer

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

Learn more about SegFormer

Model Type

Object Detection

Semantic Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

Frameworks

TensorFlow 1.5

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.5k+

2.2k+

License

MIT

NVIDIA Source Code

Paper

Training Notebook

Deploy Model

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Faster R-CNN vs. SegFormer

Both

Faster R-CNN

and

SegFormer

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

Faster R-CNN

and

SegFormer

	Faster R-CNN	SegFormer
Date of Release		May 31, 2021
Model Type	Object Detection	Semantic Segmentation
Architecture		Transformers
GitHub Stars	7500	2200

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

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