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Model compression and hardware acceleration are essential for the resource-efficient deployment of deep neural networks. Modern object detectors have highly interconnected convolutional layers with concatenations. In this work, we study how pruning c
Externí odkaz:
http://arxiv.org/abs/2405.03715