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YOLOv4 PyTorch vs. SegFormer

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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 SegFormer
Date of Release May 31, 2021
Model Type Object Detection Semantic Segmentation
Architecture YOLO Transformers
GitHub Stars 4200 1300

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.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

SegFormer

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

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about YOLOv4 PyTorch
Learn more about SegFormer

Compare YOLOv4 PyTorch to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
ResNet 32

Compare SegFormer to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

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