Both YOLOS and MobileNet V2 Classification are commonly used in computer vision projects. Below, we compare and contrast YOLOS and MobileNet V2 Classification.
Models
YOLOS
YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
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.
