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Titouan Lorieul

2 accepted papers

2021

Multi-Label Learning From Single Positive Labels

CVPR 2021poster

Predicting all applicable labels for a given image is known as multi-label classification. Compared to the standard multi-class case (where each image has only one label), it is considerably more challenging to annotate training data for multi-label classification. When the number of potential label…

Cited by 133PDFcodeScholar
2021

Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution

NeurIPS 2021poster

This paper presents a novel image dataset with high intrinsic ambiguity specifically built for evaluating and comparing set-valued classifiers. This dataset, built from the database of Pl@ntnet citizen observatory, consists of 306,146 images covering 1,081 species. We highlight two particular featur…

Cited by 50SourceScholar