Search Results for author: Kai-Chiang Wu

Found 4 papers, 2 papers with code

FLORA: Fine-grained Low-Rank Architecture Search for Vision Transformer

1 code implementation7 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.

Q-YOLOP: Quantization-aware You Only Look Once for Panoptic Driving Perception

no code implementations10 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.

Autonomous Driving Data Augmentation +4

FOX-NAS: Fast, On-device and Explainable Neural Architecture Search

1 code implementation14 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.

Neural Architecture Search Quantization

Efficient Systolic Array Based on Decomposable MAC for Quantized Deep Neural Networks

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.

Quantization

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