IEEE

A Multilevel Encoder–Decoder Attention Network for Change Detection in Hyperspectral Images

Abstract: Convolutional neural networks (CNNs) have attracted much attention in change detection (CD) for their superior feature learning ability. However, most of the existing CNN-based CD methods ...
IEEE

Fractional Fourier Transform Meets Transformer Encoder

Abstract: Utilizing signal processing tools in deep learning models has been drawing increasing attention. Fourier transform (FT), one of the most popular signal processing tools, is employed in many ...
IEEE

Evaluation of Encoder-Only Transformer for Multi-Step Traffic Flow Prediction

Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
IEEE

Dual Encoder–Decoder Network for Land Cover Segmentation of Remote Sensing Image

Abstract: Although the vision transformer-based methods (ViTs) exhibit an excellent performance than convolutional neural networks (CNNs) for image recognition tasks, their pixel-level semantic ...
IEEE

A Study of Bidirectional Encoder Representations from Transformers for Sequential Recommendations

Abstract: Sequential recommender systems seek to capture information about user affinities and behaviors considering their sequential series of interactions. While former models based on Markov Chains ...