Camille Garcin

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 5

Top Topics

Classification Accuracy

Top Venues

DART/MIL3ID@MICCAI

NeurIPS Datasets and Benchmarks

Publications

Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon
A two-head loss function for deep Average-K classification. CoRR (2023)
Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. CoRR (2022)
Camille Garcin, Maximilien Servajean, Alexis Joly, Joseph Salmon
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification. ICML (2022)
Camille Garcin, Alexis Joly, Pierre Bonnet, Antoine Affouard, Jean-Christophe Lombardo, Mathias Chouet, Maximilien Servajean, Titouan Lorieul, Joseph Salmon
Pl@ntNet-300K: a plant image dataset with high label ambiguity and a long-tailed distribution. NeurIPS Datasets and Benchmarks (2021)
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
Towards Practical Unsupervised Anomaly Detection on Retinal Images. DART/MIL3ID@MICCAI (2019)