78 citations · 341 across the 20 of their papers we have counts for
14 papers · 1 filter
Overview of GeoLifeCLEF 2023: Species Composition Prediction with High Spatial Resolution at Continental Scale Using Remote Sensing
Christophe Botella, Benjamin Deneu, Diego Marcos +6
Understanding the spatio-temporal distribution of species is a cornerstone of ecology and conservation. By pairing species observations with geographic and environmental predictors…
LifeCLEF Plant Identification Task 2014
Herve Goeau, Alexis Joly, Pierre Bonnet +4
The LifeCLEFs plant identification task provides a testbed for a system-oriented evaluation of plant identification about 500 species trees and herbaceous plants. Seven types of im…
LifeCLEF Plant Identification Task 2015
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…
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…
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…
Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)
Herve Goeau, Pierre Bonnet, Alexis Joly
The 2017-th edition of the LifeCLEF plant identification challenge is an important milestone towards automated plant identification systems working at the scale of continental flor…
Overview of LifeCLEF Plant Identification task 2020
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 with more and more photos in the f…
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…
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,…
Overview of PlantCLEF 2022: Image-based plant identification at global scale
Herve Goeau, Pierre Bonnet, Alexis Joly
It is estimated that there are more than 300,000 species of vascular plants in the world. Increasing our knowledge of these species is of paramount importance for the development o…
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…
How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval?
Quentin Leroy, Olivier Buisson, Alexis Joly
Supervised representation learning with deep networks tends to overfit the training classes and the generalization to novel classes is a challenging question. It is common to evalu…
Hyperspherical embedding for novel class classification
Rafael S. Pereira, Alexis Joly, Patrick Valduriez +1
Deep learning models have become increasingly useful in many different industries. On the domain of image classification, convolutional neural networks proved the ability to learn…
The GeoLifeCLEF 2020 Dataset
Elijah Cole, Benjamin Deneu, Titouan Lorieul +6
Understanding the geographic distribution of species is a key concern in conservation. By pairing species occurrences with environmental features, researchers can model the relatio…