88 citations · 88 across the 2 of their papers we have counts for
3 papers
SoDeep: a Sorting Deep net to learn ranking loss surrogates
Martin Engilberge, Louis Chevallier, Patrick Pérez +1
Several tasks in machine learning are evaluated using non-differentiable metrics such as mean average precision or Spearman correlation. However, their non-differentiability preven…
VideoMem: Constructing, Analyzing, Predicting Short-term and Long-term Video Memorability
Romain Cohendet, Claire-Hélène Demarty, Ngoc Q. K. Duong +1
Humans share a strong tendency to memorize/forget some of the visual information they encounter. This paper focuses on providing computational models for the prediction of the intr…
Finding beans in burgers: Deep semantic-visual embedding with localization
Martin Engilberge, Louis Chevallier, Patrick Pérez +1
Several works have proposed to learn a two-path neural network that maps images and texts, respectively, to a same shared Euclidean space where geometry captures useful semantic re…