2 citations · 4 across the 3 of their papers we have counts for
3 papers
KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
Eric Zimmermann, Harley Wiltzer, Justin Szeto +2
Recent breakthroughs in self-supervised Joint-Embedding Predictive Architectures (JEPAs) have established that regularizing Euclidean representations toward isotropic Gaussian prio…
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…