Size invariance: Revision history

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19 March 2023

  • curprev 12:1812:18, 19 March 2023‎ Walle talk contribs‎ 3,302 bytes +3,302‎ Created page with "{{see also|Machine learning terms}} ==Size Invariance in Machine Learning== Size invariance is a property of machine learning models and algorithms that allows them to be robust to variations in the size or scale of input data. This property is particularly important in tasks such as image recognition and object detection, where the same object may appear in different sizes and scales within the input data. Achieving size invariance can greatly improve the generalization..."
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