4 papers
Unbiased Open World Regularization for Fair Self-Supervised Learning
L{é}o Nicollier, Marc Pic, Pablo Mus{é} +2
Despite recent advances, self-supervised learning (SSL) models and Joint-Embedding Predictive Architectures (JEPAs) remain susceptible to learning spurious biases in the dataset. T…
An Industrial Dataset for Scene Acquisitions and Functional Schematics Alignment
Flavien Armangeon, Thibaud Ehret, Enric Meinhardt-Llopis +4
Aligning functional schematics with 2D and 3D scene acquisitions is crucial for building digital twins, especially for old industrial facilities that lack native digital models. Cu…
Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone
Tristan Amadei, Enric Meinhardt-Llopis, Benedicte Bascle +2
Image-based localization in GNSS-denied environments is critical for UAV autonomy. Existing state-of-the-art approaches rely on matching UAV images to geo-referenced satellite imag…
S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications
ElÃas Masquil, Roger MarÃ, Thibaud Ehret +3
We introduce the S-EO dataset: a large-scale, high-resolution dataset, designed to advance geometry-aware shadow detection. Collected from diverse public-domain sources, including…