most citedDeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.AR2020★ 3 cited

DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks

Mohammadreza Baharani, Ushma Sunil, Kaustubh Manohar +2

Deep Separable Convolutional Neural Networks (DSCNNs) have become the emerging paradigm by offering modular networks with structural sparsity in order to achieve higher accuracy wi…

cs.CV2020

EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation

Christopher Neff, Aneri Sheth, Steven Furgurson +1

There is an increasing demand for lightweight multi-person pose estimation for many emerging smart IoT applications. However, the existing algorithms tend to have large model sizes…