SegFormer vs. Resnet-32

Both SegFormer and ResNet 32 are commonly used in computer vision projects. Below, we compare and contrast SegFormer and ResNet 32.

Models

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

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.

Model Type

Semantic Segmentation

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

Frameworks

PyTorch

Fast.ai v2

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

2.2k+

32+

License

NVIDIA Source Code

Paper

Training Notebook

Deploy Model

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.