Adaptive Graph Neural Network Sees Through Occlusion to Nail Object Pose from a Single RGB Image
Researchers at Shenyang University of Technology have developed a distance-aware adaptive graph neural network that estimates 6D object poses from ...
Researchers at Shenyang University of Technology have developed a distance-aware adaptive graph neural network that estimates 6D object poses from ...
Researchers at Shanghai Jiao Tong University have developed an occlusion-aware pairwise relational network that lets robots quickly map which objects ...
A new case study shows how the Firmata protocol and Google's MediaPipe library let students control Arduino devices with hand ...
A comprehensive review shows how machine learning, computer vision, and physics-informed neural networks are transforming microplastic detection, source tracking, and ...
A joint framework combining optical-flow computer vision and seismic signal analysis reconstructs the moment-by-moment motion and deformation of large rock ...
A new spiral-based transformation converts time series into images that let pretrained vision models outperform specialized anomaly detectors across 23 ...
A new survey charts the shift in language-guided video segmentation from explicitly described targets to objects that machines must reason ...
A new framework called FuseDepth fuses frozen detection, matting and surface-normal models with an adapted Depth Anything backbone to achieve ...
A hybrid machine learning framework that reads leaf color, texture, and vein patterns diagnosed magnesium and iron deficiencies in field-grown ...
Researchers have built a WaveNet-CNN framework that fuses spatial and frequency-domain features with a dual moth flame optimization algorithm to ...
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© 2025 Scienmag - Science Magazine