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Clement Mallet

2 accepted papers

2025

The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf

CVPR 2025poster

Bi-temporal change detection at scale based on Very High Resolution (VHR) images is crucial for Earth monitoring. Such task remains poorly addressed even in the deep learning era: it either requires large volumes of annotated data - in the semantic case - or is limited to restricted datasets for bin…

Cited by 1SourcePDFScholar
2024

OmniSat: Self-Supervised Modality Fusion for Earth Observation

ECCV 2024poster

"The diversity and complementarity of sensors available for Earth Observations (EO) calls for developing bespoke self-supervised multimodal learning approaches. However, current multimodal EO datasets and models typically focus on a single data type, either mono-date images or time series, which lim…