NoisyMix: Boosting Model Robustness to Common Corruptions

2 February 2022

Papers citing "NoisyMix: Boosting Model Robustness to Common Corruptions"

4 / 4 papers shown

Title
Examining the Impact of Optical Aberrations to Image Classification and Object Detection Models Patrick Müller Alexander Braun M. Keuper 50 0 0 25 Apr 2025
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 53 1 0 02 Nov 2023
Dynamic Test-Time Augmentation via Differentiable Functions Shohei Enomoto Monikka Roslianna Busto Takeharu Eda OOD 30 5 0 09 Dec 2022
Universum-inspired Supervised Contrastive Learning Aiyang Han Chuanxing Geng Songcan Chen SSL 21 3 0 22 Apr 2022