25 citations · 75 across the 26 of their papers we have counts for
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cs.LG2022★ 2 cited
A New Perspective for Understanding Generalization Gap of Deep Neural Networks Trained with Large Batch Sizes
Oyebade K. Oyedotun, Konstantinos Papadopoulos, Djamila Aouada
Deep neural networks (DNNs) are typically optimized using various forms of mini-batch gradient descent algorithm. A major motivation for mini-batch gradient descent is that with a…
cs.CV2022★ 2 cited
Leveraging Equivariant Features for Absolute Pose Regression
Mohamed Adel Musallam, Vincent Gaudilliere, Miguel Ortiz del Castillo +2
While end-to-end approaches have achieved state-of-the-art performance in many perception tasks, they are not yet able to compete with 3D geometry-based methods in pose estimation.…