Models

YOLOR vs. YOLOS

Both

YOLOR

and

YOLOS

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

YOLOR

and

YOLOS

.

  YOLOR YOLOS
Date of Release May 10, 2021 Jun 01, 2021
Model Type Object Detection Object Detection
Architecture CNN, YOLO Transformer, YOLO
GitHub Stars 1800 648

YOLOR

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

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

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.

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

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