CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single-and Multi-DNN Workloads
The relentless expansion of deep learning (DL) applications in recent years has prompted a
pivotal shift towards on-device execution, driven by the urgent need for real-time processing …
pivotal shift towards on-device execution, driven by the urgent need for real-time processing …
Towards Better Accuracy-Efficiency Trade-Offs: Dynamic Activity Inference via Collaborative Learning from Various Width-Resolution Configurations
L Qin, L Zhang, C Li, C Song, D Cheng… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Recently, deep neural networks have triumphed over a large variety of human activity
recognition (HAR) applications on resource-constrained mobile devices. However, most …
recognition (HAR) applications on resource-constrained mobile devices. However, most …