Optimal and Efficient Binary Questioning for Human-in-the-Loop Annotation

no code implementations • 4 Jul 2023 • Franco Marchesoni-Acland, Jean-Michel Morel, Josselin Kherroubi, Gabriele Facciolo

The problem is framed as the full annotation of a binary classification dataset with the minimal number of yes/no questions when a predictor is available.

Active Learning Binary Classification +1

Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information

no code implementations • 18 Nov 2022 • Ahmed Ben Saad, Kristina Prokopetc, Josselin Kherroubi, Axel Davy, Adrien Courtois, Gabriele Facciolo

In this paper we will focus on the depth information, which can be obtained by using a depth estimation network or measured from available data (stereovision, parallax motion, LiDAR, etc.).

Contrastive Learning Depth Estimation +2

Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting

no code implementations • 6 Nov 2019 • Ahmed Ben Saad, Youssef Tamaazousti, Josselin Kherroubi, Alexis He

We tackle the problem of texture inpainting where the input images are textures with missing values along with masks that indicate the zones that should be generated.

Image Inpainting