356 citations · 653 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 356 cited
R2D2: Repeatable and Reliable Detector and Descriptor
Jerome Revaud, Philippe Weinzaepfel, César De Souza +4
Interest point detection and local feature description are fundamental steps in many computer vision applications. Classical methods for these tasks are based on a detect-then-desc…
cs.CV2017★ 292 cited
Domain Adaptation for Visual Applications: A Comprehensive Survey
Gabriela Csurka
The aim of this paper is to give an overview of domain adaptation and transfer learning with a specific view on visual applications. After a general motivation, we first position d…
cs.CV2017★ 5 cited
An Extended Framework for Marginalized Domain Adaptation
Gabriela Csurka, Boris Chidlovski, Stephane Clinchant +1
We propose an extended framework for marginalized domain adaptation, aimed at addressing unsupervised, supervised and semi-supervised scenarios. We argue that the denoising princip…