1 code implementation • 15 Sep 2023 • Elias Ramzi, Nicolas Audebert, Clément Rambour, André Araujo, Xavier Bitot, Nicolas Thome
It provides an upperbound for rank losses and ensures robust training.
1 code implementation • 5 Jul 2022 • Elias Ramzi, Nicolas Audebert, Nicolas Thome, Clément Rambour, Xavier Bitot
Image Retrieval is commonly evaluated with Average Precision (AP) or Recall@k. Yet, those metrics, are limited to binary labels and do not take into account errors' severity.
Ranked #1 on Metric Learning on DyML-Animal
1 code implementation • NeurIPS 2021 • Elias Ramzi, Nicolas Thome, Clément Rambour, Nicolas Audebert, Xavier Bitot
In image retrieval, standard evaluation metrics rely on score ranking, e. g. average precision (AP).
Ranked #2 on Image Retrieval on CUB-200-2011