Tag: feature fusion

Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...

A dual-branch deep learning framework that fuses local terrain characteristics with surrounding spatial context has achieved record accuracy in mapping ...

Researchers in China have developed a content-guided attention network that restores color and detail in underwater images through efficient fusion ...

A new shapelet-based soft contrastive learning framework called SCLS improves multivariate time series clustering by avoiding noisy data augmentation and ...

Researchers have developed S²DNet, a dynamic spectral–structural framework that adapts feature extraction and fusion to each scene, improving remote sensing ...

Researchers at Shenyang University of Technology have developed a distance-aware adaptive graph neural network that estimates 6D object poses from ...

A new machine learning method called PrePssmCas fuses protein language model embeddings with evolutionary PSSM features to classify CRISPR-Cas proteins ...

Researchers in China have unveiled SpecMamba-Net, a dual-branch Mamba-based AI that fuses frequency-domain texture cues with linear-complexity global state-space modeling ...

Researchers have unveiled DBRA-Net, a dual-branch residual attention network that achieves highly accurate image retrieval over encrypted cloud data while ...

A new CNN-Transformer model detects depression from Chinese speech with over 95% precision by fusing wavelet-based spectral features with hybrid ...