Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks

no code implementations • 29 Nov 2020 • Pengtao Xu, Jian Cao, Fanhua Shang, Wenyu Sun, Pu Li

For layer pruning, we convert convolutional layers of network into ResConv with a layer scaling factor.

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

no code implementations • 2 Dec 2020 • Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Pu Li

We propose an efficient once-for-all budgeted pruning framework (OFARPruning) to find many compact network structures close to winner tickets in the early training stage considering the effect of input resolution during the pruning process.

Image Classification object-detection +1