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Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution
October 03, 2018 Β· Declared Dead Β· π International Conference on Cloud Computing and Intelligence Systems
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Authors
Wendi Xu, Ming Zhang
arXiv ID
1810.01620
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.CV
Citations
1
Venue
International Conference on Cloud Computing and Intelligence Systems
Last Checked
4 months ago
Abstract
Evolution of deep learning shows that some algorithmic tricks are more durable , while others are not. To the best of our knowledge, we firstly summarize 5 more durable and complete deep learning components for vision, that is, WARSHIP. Moreover, we give a biological overview of WARSHIP, emphasizing brain-inspired computing of WARSHIP. As a step towards WARSHIP, our case study of image super resolution combines 3 components of RSH to deploy a CNN model of WARSHIP-XZNet, which performs a happy medium between speed and performance.
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