2019
Cascaded Projection: End-To-End Network Compression and Acceleration
CVPR 2019oral
We propose a data-driven approach for deep convolutional neural network compression that achieves high accuracy with high throughput and low memory requirements. Current network compression methods either find a low-rank factorization of the features that requires more memory or select only a subset…