Arazo, Eric

7 publications

ECCV 2024 An Accurate Detection Is Not All You Need to Combat Label Noise in Web-Noisy Datasets Paul Albert, Kevin McGuinness, Eric Arazo, Tarun Krishna, Noel O Connor, Jack Valmadre

CVPRW 2024 Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero-Shot Medical Image Segmentation Sidra Aleem, Fangyijie Wang, Mayug Maniparambil, Eric Arazo, Julia Dietlmeier, Kathleen M. Curran, Noel E. O'Connor, Suzanne Little

WACV 2023 Is Your Noise Correction Noisy? PLS: Robustness to Label Noise with Two Stage Detection Paul Albert, Eric Arazo, Tarun Krishna, Noel E. O’Connor, Kevin McGuinness

WACV 2022 Addressing Out-of-Distribution Label Noise in Webly-Labelled Data Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness

ECCV 2022 Embedding Contrastive Unsupervised Features to Cluster In- and Out-of-Distribution Noise in Corrupted Image Datasets Paul Albert, Eric Arazo, Noel E. O’Connor, Kevin McGuinness

CVPR 2021 Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness

ICML 2019 Unsupervised Label Noise Modeling and Loss Correction Eric Arazo, Diego Ortego, Paul Albert, Noel O’Connor, Kevin Mcguinness