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An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(2022)

Cited 0|Views45
Key words
edge devices,OFARPruning,conventional pruning methods,budgeted pruning framework,ConvNets,compact network architectures,high-quality network architecture,time consumption,low energy consumption,object detection,FLOPs,image classification
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