Unsupervised Scale-Invariant Learning

Parameters

451

Published

Jun 18, 2003

Unsupervised Scale-Invariant Learning is an AI model developed by University of Oxford (United Kingdom), first published in June 2003. It works in the vision domain, on tasks such as image classification.

Epoch AI has no training-compute estimate for this model. The model has 451 parameters. It was trained on roughly 400 datapoints.

The reference paper has 2,970 citations.

Full record

Organization: University of Oxford
Country of organization: United Kingdom
Domain: Vision
Task: Image classification
Parameters: 451
Dataset size: 400
Citations: 2,970