21 citations · 23 across the 5 of their papers we have counts for
5 papers · 1 filter
All You Need to Know About Training Image Retrieval Models
Gabriele Berton, Kevin Musgrave, Carlo Masone
Image retrieval is the task of finding images in a database that are most similar to a given query image. The performance of an image retrieval pipeline depends on many training-ti…
Three New Validators and a Large-Scale Benchmark Ranking for Unsupervised Domain Adaptation
Kevin Musgrave, Serge Belongie, Ser-Nam Lim
Changes to hyperparameters can have a dramatic effect on model accuracy. Thus, the tuning of hyperparameters plays an important role in optimizing machine-learning models. An integ…
Unsupervised Domain Adaptation: A Reality Check
Kevin Musgrave, Serge Belongie, Ser-Nam Lim
Interest in unsupervised domain adaptation (UDA) has surged in recent years, resulting in a plethora of new algorithms. However, as is often the case in fast-moving fields, baselin…
PyTorch Metric Learning
Kevin Musgrave, Serge Belongie, Ser-Nam Lim
Deep metric learning algorithms have a wide variety of applications, but implementing these algorithms can be tedious and time consuming. PyTorch Metric Learning is an open source…
A Metric Learning Reality Check
Kevin Musgrave, Serge Belongie, Ser-Nam Lim
Deep metric learning papers from the past four years have consistently claimed great advances in accuracy, often more than doubling the performance of decade-old methods. In this p…