As such, based on the self-supervised learning, this article proposes a spatial–spectral hierarchical multiscale transformer-based masked autoencoder (SSHMT-MAE) for HSI classification. First, after ...

Abstract: The vision transformer (ViT) architecture offers significant advantages in object detection tasks. However, some limitations affect improving task performance. Firstly, the ViT relies ...

"But I have guns, gold, potassium iodide, antibiotics, batteries, water, gas masks from the Israeli Defense ... really have deep misgivings about this vision of the future where everyone is ...

This useful study introduces a deep learning-based algorithm that tracks animal postures with reduced drift by incorporating transformers for more robust keypoint detection. The efficacy of this new ...

implementation of novel Segformer neural network variants dubbed "LRSegformer" which includes Lipschitz-regularized MLP decoder layers to improve training stability and prevent overfitting ...

This project implements action recognition on videos using the Vision Transformer (ViT) model. It includes a Streamlit-based web application for uploading videos, predicting actions, and visualizing ...