output
20192024
most citedWhen Deep Learning Meets Digital Image Correlation

157 citations

Showing 2024Show all

5 papers · 1 filter

physics.chem-ph20243 cited

Thermodynamics of amide+amine mixtures. 5. Excess molar enthalpies of N,N-dimethylformamide or N,N-dimethylacetamide+N-propylpropan-1-amine, +N-butylbutan-1-amine, +butan-1-amine, or +hexan-1-amine systems. ERAS results

Fernando Hevia, Karine Ballerat-Busserolles, Yohann Coulier +4

Excess molar enthalpies, , over the whole composition range have been determined for the liquid mixtures N,N-dimethylformamide (DMF) or N,N-dimethylacetami…

physics.chem-ph20246 cited

Dissolution of sulfur dioxide and nitrogen monoxide in water

Fernando Hevia, Barbara Liborio, Karine Ballerat-Busserolles +2

Sulfur dioxide (SO) and nitrogen monoxide (NO) are some of the gas impurities present in the carbon dioxide (CO) separated from fume using post combustion capture process.…

eess.IV20248 cited

A plug-and-play framework for curvilinear structure segmentation based on a learned reconnecting regularization

Sophie Carneiro-Esteves, Antoine Vacavant, Odyssée Merveille

Curvilinear structures are present in various fields in image processing such as blood vessels in medical imaging or roads in remote sensing. Their detection is crucial for many ap…

cs.LG2024

Toward industrial use of continual learning : new metrics proposal for class incremental learning

Konaté Mohamed Abbas, Anne-Françoise Yao, Thierry Chateau +1

In this paper, we investigate continual learning performance metrics used in class incremental learning strategies for continual learning (CL) using some high performing methods. W…

cs.RO20247 cited

Scale-free vision-based aerial control of a ground formation with hybrid topology

Miguel Aranda, Youcef Mezouar, Gonzalo López-Nicolás +1

We present a novel vision-based control method to make a group of ground mobile robots achieve a specified formation shape with unspecified size. Our approach uses multiple aerial…