ConvNet similarity metric

Published

Jun 20, 2005

ConvNet similarity metric is an AI model developed by New York University (NYU) (United States), first published in June 2005. It works in the vision domain, on tasks such as face verification.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 140K datapoints.

The reference paper has 4,059 citations.

Full record

Organization: New York University (NYU)
Country of organization: United States
Domain: Vision
Task: Face verification
Dataset size: 140K
Citations: 4,059