CVPR Daily - Tuesday

by Tolga Birdal Confronted with such challenges, the tiny yet evolving community of Quantum Computer Vision and Machine Learning (QCVML) has asked: Is there a more sustainable path forward for computer vision? 16 DAILY CVPR Workshop Tuesday Tolga Birdal is an assistant professor (Lecturer) in the Department of Computing of Imperial College London. Today's computer vision involves processing large data volumes to satisfy combinatorial optimization objectives requiring excessive computational power. To date, the GPU hardware has fulfilled these high data processing demands and fueled rapid advancements within the field. Yet, training widespread deep learning models using GPUs requires extensive amounts of resources due to the prolonged GPU-utilization periods stretching from weeks to months.