FLAIR #1: semantic segmentation and domain adaptation dataset

2022-11-23 · Anatol Garioud, Stéphane Peillet, Eva Bookjans, Sébastien Giordano, Boris Wattrelos

The French National Institute of Geographical and Forest Information (IGN) has the mission to document and measure land-cover on French territory and provides referential geographical datasets, including high-resolution aerial images and topographic maps. The monitoring of land-cover plays a crucial role in land management and planning initiatives, which can have significant socio-economic and environmental impact. Together with remote sensing technologies, artificial intelligence (IA) promises to become a powerful tool in determining land-cover and its evolution. IGN is currently exploring the potential of IA in the production of high-resolution land cover maps. Notably, deep learning methods are employed to obtain a semantic segmentation of aerial images. However, territories as large as France imply heterogeneous contexts: variations in landscapes and image acquisition make it challenging to provide uniform, reliable and accurate results across all of France. The FLAIR-one dataset presented is part of the dataset currently used at IGN to establish the French national reference land cover map "Occupation du sol \`a grande \'echelle" (OCS- GE).

📄 PDF Abstract BibTeX arXiv:2211.12979

Code (1)

IGNF/FLAIR-1-AI-Challenge 공식 구현 pytorch

Tasks

Domain Adaptation Management Semantic Segmentation

GeoMultiTaskNet: remote sensing unsupervised domain adaptation using geographical coordinates

2023-04-16 · Valerio Marsocci, Nicolas Gonthier, Anatol Garioud, Simone Scardapane 외

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 (RS) semantic segmentation is costly and t…

Domain Adaptation Earth Observation Segmentation Semantic Segmentation+1

FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only

2025-04-04 · Edern Le Bot, Rémi Giraud, Boris Mansencal, Thomas Tourdias 외

This paper introduces a novel method for brain segmentation using only FLAIR MRIs, specifically targeting cases where access to other imaging modalities is limited. By leveraging existing automatic segmentation methods, …

Brain Segmentation Image Generation Segmentation

Domain Adaptation using Silver Standard Masks for Lateral Ventricle Segmentation in FLAIR MRI

2023-07-17 · Owen Crystal, Pejman J. Maralani, Sandra Black, Alan R. Moody 외

Lateral ventricular volume (LVV) is an important biomarker for clinical investigation. We present the first transfer learning-based LVV segmentation method for fluid-attenuated inversion recovery (FLAIR) MRI. To mitigate…

Domain Adaptation Transfer Learning

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

2023-10-20 · Anatol Garioud, Nicolas Gonthier, Loic Landrieu, Apolline De Wit 외

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 provides a unique and rich resource for large-s…

Diversity Land Cover Classification Semantic Segmentation Time Series

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

2023-09-26 · NeurIPS 2023 11