Mid-level Features is an AI model developed by INRIA, Ecole Normale Supèrieure and New York University (NYU) (France and United States), first published in June 2010. It works in the vision domain, on tasks such as object recognition.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 1.5K datapoints.
The reference paper has 1,314 citations.