Search Results for author: Rémi Cadène

Found 5 papers, 4 papers with code

How good is your explanation? Algorithmic stability measures to assess the qualityof explanations for deep neural networks

no code implementations7 Sep 2020 Thomas Fel, David Vigouroux, Rémi Cadène, Thomas Serre

A plethora of methods have been proposed to explain howdeep neural networks reach a decision but comparativelylittle effort has been made to ensure that the explanationsproduced by these methods are objectively relevant.

Image Classification

Images & Recipes: Retrieval in the cooking context

1 code implementation2 May 2018 Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Matthieu Cord

Recent advances in the machine learning community allowed different use cases to emerge, as its association to domains like cooking which created the computational cuisine.

Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

1 code implementation30 Apr 2018 Micael Carvalho, Rémi Cadène, David Picard, Laure Soulier, Nicolas Thome, Matthieu Cord

Designing powerful tools that support cooking activities has rapidly gained popularity due to the massive amounts of available data, as well as recent advances in machine learning that are capable of analyzing them.

Cross-Modal Retrieval

Master's Thesis : Deep Learning for Visual Recognition

1 code implementation18 Oct 2016 Rémi Cadène, Nicolas Thome, Matthieu Cord

Our last contribution is a framework, build on top of Torch7, for training and testing deep models on any visual recognition tasks and on datasets of any scale.

Cannot find the paper you are looking for? You can Submit a new open access paper.