Tag: multi-scale

Researchers developed PMSL-YOLO, a lightweight progressive multi-scale training framework based on YOLOv8n that improves multi-disease detection in chest X-rays on ...

A multi-scale machine learning study modeling carbon emissions across Chinese counties from 2000 to 2100 reveals that regional rivalry drives ...

Researchers have developed MSBA-SAM, an adapted deep learning framework that automates aerial power grid segmentation by combining dual-branch image encoding ...

Researchers developed MSDR-Net, a deep learning model that differentiates benign and malignant spinal tumors on T2-weighted fat-suppressed MRI scans with ...

Researchers have developed MSCF-DM, a multi-scale species-conditioned deep learning network that predicts cross-species DNA methylation sites across three modification types.

Engineers have developed a lightweight multi-scale neural network that uses component structural context to improve aerial defect detection across power ...

A multi-scale vision transformer analyzing UAV hyperspectral images identified pine wilt disease at the green attack and early stages with ...

Researchers developed a lightweight SAR building segmentation framework that achieves high accuracy while maintaining computational efficiency for urban mapping.

A new contrastive learning method called MsRCL uses multi-scale patch decomposition and channel-aware attention to improve anomaly detection in multivariate ...

AMA-YOLOv8s reached 93.5% mAP@0.5 in a dataset-based evaluation of photovoltaic defect detection.