4 code implementations • ECCV 2020 • 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.
1 code implementation • 20 Aug 2020 • 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.
2 code implementations • 28 Nov 2022 • Kevin Musgrave, Serge Belongie, Ser-Nam Lim
PyTorch Adapt is a library for domain adaptation, a type of machine learning algorithm that re-purposes existing models to work in new domains.
1 code implementation • 15 Aug 2022 • Kevin Musgrave, Serge Belongie, Ser-Nam Lim
In a supervised setting, these validators evaluate checkpoints by computing accuracy on a validation set that has labels.
no code implementations • 30 Nov 2021 • 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.