Enhancing Autism Spectrum Classification using Super Resolution GAN and ViT based Embedding

• Published in: 2023 20th International Bhurban Conference on Applied Sciences and Technology (IBCAST) pp. 101 - 107
• Main Authors: Farooq, Muhammad, Bin Amir, Muhammad Haris, Ejaz, Usama Abdullah, Ali, Raza, Mumtaz, Adeel
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.08.2023
• Subjects: Accuracy; Autism; Autism Spectrum Disorder; Computer vision; Convolution Neural Network; Deep learning; Feature extraction; Generative adversarial networks; Image enhancement; Image quality; Superresolution; Transformers; Vision Transformer

Autism spectrum disorder(ASD) poses challenges in recognizing and socializing with others very challenging. Early detection is crucial for improved outcomes in individuals with ASD. In this research we present a novel approach for autism classification using facial images. Our approach utilizes the...