4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.AR2025
High Utilization Energy-Aware Real-Time Inference Deep Convolutional Neural Network Accelerator
Kuan-Ting Lin, Ching-Te Chiu, Jheng-Yi Chang +2
Deep convolution Neural Network (DCNN) has been widely used in computer vision tasks. However, for edge devices even inference has too large computational complexity and data acces…
cs.CV2020★ 4 cited
EfficientNet-eLite: Extremely Lightweight and Efficient CNN Models for Edge Devices by Network Candidate Search
Ching-Chen Wang, Ching-Te Chiu, Jheng-Yi Chang
Embedding Convolutional Neural Network (CNN) into edge devices for inference is a very challenging task because such lightweight hardware is not born to handle this heavyweight sof…