Deep Learning Self-Assembly Framework for On-Device AI

Techniques:

• Hardware-Aware Neural Architecture Search (related to LUT-NAS, IEEE Access 2023, and group-structure NAS, Electronics Letters 2022)
• Real-time Human Activity Recognition (related to LUT-NAS and MTS-Module, IEEE Access 2022)
• Multi-scale Temporal Sampling (related to MTS-Module)

Code:

• github.com/laymond1/HAR-Model-Latency
• github.com/minercode625/grunas
• github.com/jgpark92/MTS-ConvNet