MHLR: Moving Haar Learning Rate Scheduler for Large-scale Face Recognition Training with One GPU

arXiv:2404.11118v1 Announce Type: new
Abstract: Face recognition (FR) has seen significant advancements due to the utilization of large-scale datasets. Training deep FR models on large-scale datasets with multiple GPUs is now a common practice. In fact, computing power has evolved into a foundational and indispensable resource in the area of deep learning. It is nearly impossible to train a deep FR model without holding adequate hardware resources. Recognizing this challenge, some FR approaches have started exploring ways to reduce the …

abstract arxiv computing computing power cs.cv datasets face face recognition foundational gpu gpus moving multiple power practice rate recognition scale training type