Concept
Text segmentation
Publications associées (41)
Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance
Devis Tuia, Valérie Zermatten, Javiera Francisca Castillo Navarro, Xiaolong Lu
Deep learning has emerged as a promising avenue for automatic mapping, demonstrating high efficacy in land cover categorization through various semantic segmentation models. Nonetheless, the practical deployment of these models encounters important challen ...
Ieee-Inst Electrical Electronics Engineers Inc2024Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation
Deep learning has revolutionized the field of computer vision, a success largely attributable to the growing size of models, datasets, and computational power.Simultaneously, a critical pain point arises as several computer vision applications are deployed ...
EPFL2024Text as a Richer Source of Supervision in Semantic Segmentation Tasks
Devis Tuia, Valérie Zermatten, Javiera Francisca Castillo Navarro, Lloyd Haydn Hughes
This paper introduces TACOSS a text-image alignment approach that allows explainable land cover semantic segmentation by directly integrating semantic concepts encoded from texts. TACOSS combines convolutional neural networks for visual feature extraction ...
The Institute of Electrical and Electronics Engineers, Inc2023An end-to-end pipeline for historical censuses processing
Lucas Arnaud André Rappo, Rémi Guillaume Petitpierre, Marion Kramer
Censuses are structured documents of great value for social and demographic history, which became widespread from the nineteenth century on. However, the plurality of formats and the natural variability of historical data make their extraction arduous and ...
2023