Adaptive Probability Maps Sharpen AI Human Pose Estimates Under Occlusion
A new probabilistic pose estimation framework combining multi-scale Vision Transformer feature fusion with adaptive uncertainty modeling improves accuracy on occluded ...
A new probabilistic pose estimation framework combining multi-scale Vision Transformer feature fusion with adaptive uncertainty modeling improves accuracy on occluded ...
Researchers report that a multi-scale graph neural network called NeuroMGCN improves SAT phase prediction and raises solving rates by 4.1 ...
A modified YOLOv8 detector improved conventional ship-detection accuracy in high-resolution SAR imagery, including on two external datasets, but reduced inference ...
A narrative review concludes that fungal autophagy coordinates membrane biogenesis, organelle turnover, stress signaling, development and host interactions, although direct ...
A benchmark study found that FBMS-YOLO improved localization of degraded bamboo slip characters, raising DeepJiandu mAP50 from 92.8% to 94.4% ...
A dual-modality artificial-intelligence model that analyzed both fundus photographs and optical coherence tomography (OCT) scans reported high performance when classifying ...
A lightweight Fourier-enhanced neural network outperformed competing detectors on images from an unseen generative model while localizing manipulated regions, according ...
A new AI framework called BAMR-HF combines boundary-aware segmentation, radiomic–deep feature fusion, and contextual modeling to segment and classify lung ...
An adaptive porosity-based segmentation method called Smart Threshold replaces fixed thresholds in apple CT imaging, revealing cultivar-specific tissue architecture and ...
Every cancer diagnosis begins with a slide. A thin slice of tumor tissue is stained, mounted on glass, and examined ...
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© 2025 Scienmag - Science Magazine