no code implementations • 13 Jul 2023 • Jorge Gonzalez-Zapata, Francisco Lopez-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
The proposed Guided Deep Metric Learning approach is based on a novel architecture which was designed to learn data representations in an improved way.
no code implementations • 15 May 2023 • Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Ivan Reyes-Amezcua, Daniel Flores-Araiza, Francisco Lopez-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
Few-shot learning is a challenging area of research that aims to learn new concepts with only a few labeled samples of data.
no code implementations • 4 Jun 2022 • Jorge Gonzalez-Zapata, Ivan Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
Deep Metric Learning (DML) methods have been proven relevant for visual similarity learning.
no code implementations • 29 Sep 2021 • Mauricio Mendez Ruiz, Gilberto Ochoa Ruiz, Andres Mendez Vazquez, Jorge Gonzalez-Zapata
Few-shot learning is a challenging area of research which aims to learn new concepts with only a few labeled samples of data.