All-in-One Hardware-Oriented Model Compression for Efficient Multi-Hardware Deployment
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DOI: 10.1109/tcsvt.2024.3434626
Abstract: Structured pruning is an efficient compression technique that significantly reduces the inference latency and energy consumption of convolutional neural networks (CNNs) by eliminating redundant filters. However, existing works suffer from expensive algorithm costs in multi-hardware… read more here.
Keywords: multi hardware; hardware; one hardware; hardware deployment ... See more keywords