Explainable Knowledge Distillation for On-device Chest X-Ray Classification

no code implementations • 10 May 2023 • Chakkrit Termritthikun, Ayaz Umer, Suwichaya Suwanwimolkul, Feng Xia, Ivan Lee

To overcome this problem, we propose a knowledge distillation (KD) strategy to create the compact deep learning model for the real-time multi-label CXR image classification.

Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +2

EEEA-Net: An Early Exit Evolutionary Neural Architecture Search

1 code implementation • 13 Aug 2021 • Chakkrit Termritthikun, Yeshi Jamtsho, Jirarat Ieamsaard, Paisarn Muneesawang, Ivan Lee

The EE-PI reduces the total number of parameters in the search process by filtering the models with fewer parameters than the maximum threshold.

Image Classification Keypoint Detection +4

NU-LiteNet: Mobile Landmark Recognition using Convolutional Neural Networks

1 code implementation • 2 Oct 2018 • Chakkrit Termritthikun, Surachet Kanprachar, Paisarn Muneesawang

The growth of high-performance mobile devices has resulted in more research into on-device image recognition.

Landmark Recognition

NU-ResNet: Deep Residual Networks for Thai Food Image Recognition

1 code implementation • 1 Aug 2018 • Chakkrit Termritthikun, Surachet Kanprachar

These results show a promising performance of the proposed network to be used with a Thai food image recognition application in a smartphone.

NU-InNet: Thai Food Image Recognition Using Convolutional Neural Networks on Smartphone

1 code implementation • 1 Aug 2017 • Chakkrit Termritthikun, Paisarn Muneesawang, Surachet Kanprachar

In this paper, the image recognition for Thai food using a smartphone is studied.

Food Recognition