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 001; Pavitra Krishnaswamy; Chuan-Sheng Foo (DART/MIL3ID@MICCAI, 2019)

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 (NeurIPS Datasets and Benchmarks, 2021)

Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. - Camille Garcin; Maximilien Servajean; Alexis Joly; Joseph Salmon (ICML, 2022)

Loss functions for set-valued classification. (Fonctions de perte pour la classification à valeurs d'ensembles). - Camille Garcin (2023)

A Two-Head Loss Function for Deep Average-K Classification. - Camille Garcin; Maximilien Servajean; Alexis Joly; Joseph Salmon (WACV, 2025)