2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2026★ 1 cited
Beyond Benchmarks of IUGC: Rethinking Requirements of Deep Learning Methods for Intrapartum Ultrasound Biometry from Fetal Ultrasound Videos
Jieyun Bai, Zihao Zhou, Yitong Tang +60
A substantial proportion (45\%) of maternal deaths, neonatal deaths, and stillbirths occur during the intrapartum phase, with a particularly high burden in low- and middle-income c…
cs.LG2023★ 2 cited
Improving Deep Learning Optimization through Constrained Parameter Regularization
Jörg K. H. Franke, Michael Hefenbrock, Gregor Koehler +1
Regularization is a critical component in deep learning. The most commonly used approach, weight decay, applies a constant penalty coefficient uniformly across all parameters. This…