65 citations · 111 across the 4 of their papers we have counts for
4 papers
SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation
Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul +2
Recent advancements in deep convolutional neural networks have significantly improved the performance of saliency prediction. However, the manual configuration of the neural networ…
Explainable Knowledge Distillation for On-device Chest X-Ray Classification
Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul +2
Automated multi-label chest X-rays (CXR) image classification has achieved substantial progress in clinical diagnosis via utilizing sophisticated deep learning approaches. However,…
EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
Chakkrit Termritthikun, Yeshi Jamtsho, Jirarat Ieamsaard +2
The goals of this research were to search for Convolutional Neural Network (CNN) architectures, suitable for an on-device processor with limited computing resources, performing at…
NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks
Chakkrit Termritthikun, Surachet Kanprachar, Paisarn Muneesawang
The growth of high-performance mobile devices has resulted in more research into on-device image recognition. The research problems are the latency and accuracy of automatic recogn…