Domain Adaptation

Parameters

15.3K

Published

Nov 6, 2011

Domain Adaptation is an AI model developed by University of Maryland (United States), first published in November 2011. It works in the vision domain, on tasks such as object recognition.

Epoch AI has no training-compute estimate for this model. The model has 15,260 parameters. It was trained on roughly 2.8K datapoints.

The reference paper has 1,071 citations.

Full record

Organization: University of Maryland
Country of organization: United States
Domain: Vision
Task: Object recognition
Parameters: 15,260
Dataset size: 2.8K
Citations: 1,071