Frontiers TB-Net: A Tailored, Self-Attention Deep Convolutional

A quantization assisted U-Net study with ICA and deep features fusion for breast cancer identification using ultrasonic data [PeerJ]

Applied Sciences, Free Full-Text

Convolutions and Self-Attention or There and Back Again, by Altynanke, Data Analysis Center

Frontiers Quantitative approaches for decoding the specificity of the human T cell repertoire

A COVID-19 medical image classification algorithm based on Transformer

New Study Suggests Self-Attention Layers Could Replace Convolutional Layers on Vision Tasks, by Synced, SyncedReview

IJGI, Free Full-Text

Frontiers GPTransformer: A Transformer-Based Deep Learning Method for Predicting Fusarium Related Traits in Barley

Electronics, Free Full-Text

The general framework of the two attention modules of DeepGRN. The

Self Attention in Convolutional Neural Networks, by Ramin, MLearning.ai

Attention-based deep convolutional neural network for spectral efficiency optimization in MIMO systems