1 code implementation • 7 Nov 2023 • Chi-Chih Chang, Yuan-Yao Sung, Shixing Yu, Ning-Chi Huang, Diana Marculescu, Kai-Chiang Wu
With our method, a more fine-grained rank configuration can be generated automatically and yield up to 33% extra FLOPs reduction compared to a simple uniform configuration.
no code implementations • 10 Jul 2023 • Chi-Chih Chang, Wei-Cheng Lin, Pei-Shuo Wang, Sheng-Feng Yu, Yu-Chen Lu, Kuan-Cheng Lin, Kai-Chiang Wu
In this work, we present an efficient and quantization-aware panoptic driving perception model (Q- YOLOP) for object detection, drivable area segmentation, and lane line segmentation, in the context of autonomous driving.
1 code implementation • 14 Aug 2021 • Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Hung-Yueh Chiang, Kai-Chiang Wu
Neural architecture search can discover neural networks with good performance, and One-Shot approaches are prevalent.
no code implementations • ICLR 2020 • Ning-Chi Huang, Huan-Jan Chou, Kai-Chiang Wu
Deep Neural Networks (DNNs) have achieved high accuracy in various machine learning applications in recent years.