The context vector calculation formula is presented in Equation 3 ... while the other introduces a Linear Transformer block. The output from the Transformer is then directed into a 1 × 1 convolution ...

The advent of deep learning technologies has led to the emergence of Transformer-based deep learning models as innovative solutions for tackling complex problems and enhancing performance. These ...

In this work, we propose SwinIoT, a new framework with hierarchical and windowed attention mechanisms of Swin Transformer that is especially ... Learning-Based Anomaly Detection, Deep Support Vector ...

The paper explains how the shift from old CNN approaches to transformer models helps capture spatial and temporal details better. This change means that DLSS 4 can improve the quality of ray ...