The ImageCLEF 2012 Plant Identification Task
By Hervé Goëau, Pierre Bonnet, Alexis Joly, Itheri Yahiaoui, Daniel Barthélémy, Nozha Boujemaa, Jean-François Molino. 2012
92 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Evaluation & Benchmarks
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Massimo Minervini
- Sotirios A. Tsaftaris
- Hanno Scharr
- Andreas Fischbach
- Mohammed M. Abdelsamea
- Mostafa Mehdipour-Ghazi
- Berrin A. Yanikoglu
- E. Aptoula
In Evaluation & Benchmarks
Citations in the corpus
- Finely-grained annotated datasets for image-based plant phenotyping (2016, background): “While plant related datasets exist for leaf or flower recognition (Go¨eau et al., 2012; Silva et al., 2013; Wu et al., 2007; Nilsback and Zisser-man, 2010), these datasets were obtained in an uncontrolled or destructive manner and not in a phenotyping context.”
- Image-based plant phenotyping with incremental learning and active contours (2014, methodology): “In the following paragraphs we quickly overview growth chamber phenotype acquisition strategies and we subsequently review image processing approaches towards extracting phenotypes.”
- Plant identification using deep neural networks via optimization of transfer learning parameters (2017, background): “These campaigns, that have been organized as ImageCLEF [32] and LifeCLEF [33], are devoted to promoting and evaluating multilingual and multimodal information retrieval systems.”