RED: Looking for Redundancies for Data-Free Structured Compression of Deep Neural Networks

Deep Neural Networks (DNNs) are ubiquitous in today's computer vision landscape, despite involving considerable computational costs. The mainstream approaches for runtime acceleration consist in pruning connections ( unstructured pruning) or, better, filters ( structured pruning), both often requiring data to retrain the model.