YOLOv4 PyTorch vs. SegFormer: Compared and Contrasted

Models



YOLOv4 PyTorch vs. SegFormer

Both

YOLOv4 PyTorch

and

SegFormer

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

YOLOv4 PyTorch

and

SegFormer

YOLOv4 PyTorch

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in PyTorch.

SegFormer

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

	YOLOv4 PyTorch	SegFormer
Date of Release		May 31, 2021
Community Status		Active
Model Type	Object Detection	Semantic Segmentation
Architecture	YOLO	Transformers
FPS		51
Framework Used	PyTorch	PyTorch