no code implementations • 14 Feb 2024 • Yannis Kalantidis, Mert Bülent Sarıyıldız, Rafael S. Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka
After expanding the training set, we propose a training approach that leverages the specificities and the underlying geometry of this mix of real and synthetic images.
no code implementations • CVPR 2017 • Rafael S. Rezende, Joaquin Zepeda, Jean Ponce, Francis Bach, Patrick Perez
Zepeda and Perez have recently demonstrated the promise of the exemplar SVM (ESVM) as a feature encoder for image retrieval.
1 code implementation • ICCV 2017 • Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce
This paper addresses the problem of establishing semantic correspondences between images depicting different instances of the same object or scene category.