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20172022
most citedDeep Learning for Classification of Hyperspectral Data: A Comparative Review

687 citations · 706 across the 7 of their papers we have counts for

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cs.CV2021

Web Image Context Extraction with Graph Neural Networks and Sentence Embeddings on the DOM tree

Chen Dang, Hicham Randrianarivo, Raphaël Fournier-S'Niehotta +1

Web Image Context Extraction (WICE) consists in obtaining the textual information describing an image using the content of the surrounding webpage. A common preprocessing step befo…

cs.CV2020

Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network Study

Javiera Castillo-Navarro, Bertrand Le Saux, Alexandre Boulch +2

The development of semi-supervised learning techniques is essential to enhance the generalization capacities of machine learning algorithms. Indeed, raw image data are abundant whi…

cs.CV2019

Multimodal deep networks for text and image-based document classification

Nicolas Audebert, Catherine Herold, Kuider Slimani +1

Classification of document images is a critical step for archival of old manuscripts, online subscription and administrative procedures. Computer vision and deep learning have been…

cs.CV20178 cited

Deep learning for semantic segmentation of remote sensing images with rich spectral content

A Hamida, A. Benoît, P. Lambert +4

With the rapid development of Remote Sensing acquisition techniques, there is a need to scale and improve processing tools to cope with the observed increase of both data volume an…

cs.CV20179 cited

Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps

Nicolas Audebert, Bertrand Le Saux, Sébastien Lefèvre

In this work, we investigate the use of OpenStreetMap data for semantic labeling of Earth Observation images. Deep neural networks have been used in the past for remote sensing dat…