Both SegFormer and MobileNet V2 Classification are commonly used in computer vision projects. Below, we compare and contrast SegFormer and MobileNet V2 Classification.
Models
SegFormer
SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.
MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.
