2 citations · 4 across the 3 of their papers we have counts for
3 papers
Benchmarking a Benchmark: How Reliable is MS-COCO?
Eric Zimmermann, Justin Szeto, Jerome Pasquero +1
Benchmark datasets are used to profile and compare algorithms across a variety of tasks, ranging from image classification to segmentation, and also play a large role in image pret…
An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance
Eric Zimmermann, Justin Szeto, Frederic Ratle
Polygons are a common annotation format used for quickly annotating objects in instance segmentation tasks. However, many real-world annotation projects request near pixel-perfect…
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis
Changjian Shui, Justin Szeto, Raghav Mehta +2
Trustworthy deployment of deep learning medical imaging models into real-world clinical practice requires that they be calibrated. However, models that are well calibrated overall…