output
20192025
most citedDistributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review

138 citations

Showing cs.CVShow all

9 papers · 1 filter

cs.CV202578 cited

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…

cs.CV202515 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.CV202553 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.CV202555 cited

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…

cs.CV202512 cited

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…

cs.CV202523 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…