This project explores multi-scale attention mechanisms to enhance classification performance in volumetric medical imaging. The MHRoberta is Mental Health Roberta model. The pretrained Roberta ...

Abstract: While originally designed for natural language processing tasks, the self-attention mechanism has recently taken various computer vision areas by storm. However, the 2D nature of images ...

We introduces a gradient-based analysis of the ViT model guided by the self-attention information intrinsically produced by ViT and this provides a visual explanation with great weakly-supervised ...

One unique aspect of the RbACNN model is its dynamically initialized fully connected (FC) layer. After the self-attention mechanism, the feature map is flattened into a 1D vector. The FC layer is ...

Research suggests that attention-seeking behavior, whether seemingly genuine or not, can stem from various underlying needs and vulnerabilities, including low self-esteem, a desire for validation ...

It introduces one-dimensional convolution within the trend-aware attention framework, thereby replacing the traditional linear projections of queries and keys found in conventional self-attention ...

I’m Trisha Thadani, a reporter on the tech team focused on Elon Musk, filling in for Will Oremus. Send news tips to: ...