Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts

26 July 2021

Papers citing "Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts"

4 / 4 papers shown

Title
RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning Nathan G. Drenkow Mathias Unberath 32 4 0 28 Aug 2023
Enhancing object detection robustness: A synthetic and natural perturbation approach N. Premakumara B. Jalaeian N. Suri H. Samani 17 3 0 20 Apr 2023
Fine-Grained ImageNet Classification in the Wild Maria Lymperaiou Konstantinos Thomas Giorgos Stamou VLM 25 1 0 04 Mar 2023
3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir 3DPC 35 107 0 02 Mar 2022