Resnet-32 vs. SegFormer

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

Models

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

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

Model Type

Classification

Semantic Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

Frameworks

Fast.ai v2

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

32+

2.2k+

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.