output
20072026
most citedLand Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks

291 citations

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14 papers · 1 filter

cs.CV2025★ 4 cited

Multi-modal Co-learning for Earth Observation: Enhancing single-modality models via modality collaboration

Francisco Mena, Dino Ienco, Cassio F. Dantas +2

Multi-modal co-learning is emerging as an effective paradigm in machine learning, enabling models to collaboratively learn from different modalities to enhance single-modality pred…

cs.CV2025★ 15 cited

Overview of ExpertLifeCLEF 2018: how far automated identification systems are from the best experts?

Herve Goeau, Pierre Bonnet, Alexis Joly

Automated identification of plants and animals has improved considerably in the last few years, in particular thanks to the recent advances in deep learning. The next big question…

cs.CV2025★ 53 cited

Plant identification in an open-world (LifeCLEF 2016)

Herve Goeau, Pierre Bonnet, Alexis Joly

The LifeCLEF plant identification challenge aims at evaluating plant identification methods and systems at a very large scale, close to the conditions of a real-world biodiversity…

cs.CV2025★ 23 cited

Overview of LifeCLEF Plant Identification task 2019: diving into data deficient tropical countries

Herve Goeau, Pierre Bonnet, Alexis Joly

Automated identification of plants has improved considerably thanks to the recent progress in deep learning and the availability of training data. However, this profusion of data o…

cs.CV2025★ 50 cited

Overview of PlantCLEF 2021: cross-domain plant identification

Herve Goeau, Pierre Bonnet, Alexis Joly

Automated plant identification has improved considerably thanks to recent advances in deep learning and the availability of training data with more and more field photos. However,…

cs.CV2025★ 23 cited

Overview of PlantCLEF 2023: Image-based Plant Identification at Global Scale

Herve Goeau, Pierre Bonnet, Alexis Joly

The world is estimated to be home to over 300,000 species of vascular plants. In the face of the ongoing biodiversity crisis, expanding our understanding of these species is crucia…