YOLOR vs. SegFormer: Compared and Contrasted

Models

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

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

Model Type

Object Detection

Semantic Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN, YOLO

Transformers

Annotation Format

Instance Segmentation

Framework

PyTorch

GitHub

GitHub Stars

2k+

2.2k+

License

GPL-3.0

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.