most citedFLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery

12 citations · 13 across the 4 of their papers we have counts for

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cs.CV2024

No Annotations for Object Detection in Art through Stable Diffusion

Patrick Ramos, Nicolas Gonthier, Selina Khan +2

Object detection in art is a valuable tool for the digital humanities, as it allows for faster identification of objects in artistic and historical images compared to humans. Howev…

cs.CV2024

StegoGAN: Leveraging Steganography for Non-Bijective Image-to-Image Translation

Sidi Wu, Yizi Chen, Samuel Mermet +4

Most image-to-image translation models postulate that a unique correspondence exists between the semantic classes of the source and target domains. However, this assumption does no…

cs.CV202312 cited

FLAIR: a Country-Scale Land Cover Semantic Segmentation Dataset From Multi-Source Optical Imagery

Anatol Garioud, Nicolas Gonthier, Loic Landrieu +5

We introduce the French Land cover from Aerospace ImageRy (FLAIR), an extensive dataset from the French National Institute of Geographical and Forest Information (IGN) that provide…

cs.CV20231 cited

GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates

Valerio Marsocci, Nicolas Gonthier, Anatol Garioud +2

Land cover maps are a pivotal element in a wide range of Earth Observation (EO) applications. However, annotating large datasets to develop supervised systems for remote sensing (R…

cs.CV2023

The Learnable Typewriter: A Generative Approach to Text Analysis

Ioannis Siglidis, Nicolas Gonthier, Julien Gaubil +2

We present a generative document-specific approach to character analysis and recognition in text lines. Our main idea is to build on unsupervised multi-object segmentation methods…