Tag: attention mechanism

Researchers have developed DELTA, an unsupervised domain adaptation model that combines a grouped divergence attention module with self-paced deep clustering ...

A new deep learning framework called MedSegNet-AXU segments multiple sclerosis lesions from 3D MRI with a 98.58 percent Dice score ...

Researchers in Hangzhou have developed MGCRN, a graph-based recurrent neural network that maintains high forecasting accuracy on spatio-temporal data even ...

Chinese researchers have developed an attention-based stacking ensemble that reads Landsat 9 imagery to predict soil organic carbon more accurately ...

Researchers have developed ZD-HybridNet, a hybrid Transformer-LSTM deep learning framework that detects attack categories withheld from training and explains its ...

Researchers have developed a physics-informed neural network with an attention mechanism that predicts electric vehicle range with far greater accuracy ...

A new decoupled graph-augmented transformer architecture separates static road topology from dynamic traffic patterns to reduce optimization interference and achieve ...

Researchers in China have developed HA-DETR, a transformer-based detector that adaptively enhances features at different semantic levels to overcome blur, ...

A new deep learning model that embeds Turing-inspired reaction-diffusion mathematics and attention mechanisms into a ResNet50 backbone classifies dermoscopic images ...

Researchers have developed FUS-DETR, a transformer-based AI detector that achieves state-of-the-art accuracy in spotting small drones against cluttered backgrounds in ...