Tag: vision transformer

A new study systematically tests early, late, and hybrid fusion strategies for combining image and text in AI systems that ...

Researchers at Hefei University have developed AMCF, a multimodal AI model that combines bidirectional text-image attention with dual-branch gated fusion ...

A self-supervised Vision Transformer framework that fuses multi-scale geological maps with aeromagnetic data has substantially outperformed conventional methods in mapping ...

A new survey in Machine Learning provides an extensive taxonomy of attention mechanisms and more than thirty Transformer variants that ...

Researchers at the Norwegian University of Science and Technology have developed two new explainability methods that integrate transformer attention weights ...

Researchers have developed RViTCANet, a multimodal deep learning framework that recognizes drones from millimeter wave radar cross section data with ...

Researchers have developed LightViT-AD, a compact vision transformer framework that detects anomalies in aerial imagery in real time on drone ...

Researchers have developed CROWN, a self-supervised visual foundation model pretrained on more than ten million cytology images that achieved top ...

Researchers in India have developed a hybrid CNN-Transformer deep learning model that classifies lung cancer and its major subtypes from ...

Researchers have developed a coarse-to-fine vision transformer framework that disentangles patient motion from contrast agent dynamics to improve the accuracy ...