Abstract: Recently, Transformer-based methods have achieved impressive performance in many computer vision tasks (e.g., image super ... In this paper, we propose a concise and effective Gated ...

This study introduces a hybrid model based on a convolutional neural network (CNN) and a visual transformer (ViT), augmented with a multi-expert learning strategy, to enhance the recognition ...

Challenges and pressure persist, but the meat and poultry industry has emerged from the post-Covid era with plenty of opportunities to innovate and improve.

The video/image synthesis research sector regularly outputs video-editing* architectures, and over the last nine months, ...

This study used data from the "HMS - Harmful Brain Activity Classification" competition on Kaggle (\href{https://www.kaggle.com/competitions/hms-harmful-brain ...

This project aims to detect knee injuries using the MRNet dataset and various models including Vision Transformers (ViT, DeiT, Swin) and a Convolutional Neural Network (CNN). The project compares the ...