Camille Garcin

According to our database, Camille Garcin authored at least 5 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Loss functions for set-valued classification. (Fonctions de perte pour la classification à valeurs d'ensembles).

Camille Garcin

PhD thesis, 2023

A two-head loss function for deep Average-K classification.

Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon

CoRR, 2023

2022

Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification.

Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon

Proceedings of the International Conference on Machine Learning, 2022

2021

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

Camille Garcin, Alexis Joly, Pierre Bonnet, Antoine Affouard, Jean-Christophe Lombardo, Mathias Chouet, Maximilien Servajean, Titouan Lorieul, Joseph Salmon

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2019

Towards Practical Unsupervised Anomaly Detection on Retinal Images.

Khalil Ouardini, Huijuan Yang, Balagopal Unnikrishnan, Manon Romain, Camille Garcin, Houssam Zenati, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Chandrasekhar, Pavitra Krishnaswamy, Chuan-Sheng Foo

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019