Models

MobileNet SSD v2 vs. SegFormer

Both

MobileNet SSD v2

and

SegFormer

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

MobileNet SSD v2

and

SegFormer

.

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

SegFormer

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

  MobileNet SSD v2 SegFormer
Date of Release Jan 13, 2018 May 31, 2021
Community Status Active
Model Type Object Detection Semantic Segmentation
Architecture Transformers
FPS 51
Framework Used TensorFlow 1.5 PyTorch
Learn more about MobileNet SSD v2Learn more about SegFormer

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