SegFormer vs. YOLOR: Compared and Contrasted

Models

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

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

Model Type

Semantic Segmentation

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

CNN, YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

2.2k+

2k+

License

NVIDIA Source Code

GPL-3.0

Paper

Training Notebook

Deploy Model