Asymmetric similarity improves traffic sign detection in YOLO benchmark tests
A YOLO11m-scale detector using directional Tversky similarity in its backbone and classification head improved fine-grained traffic sign detection over a ...
A YOLO11m-scale detector using directional Tversky similarity in its backbone and classification head improved fine-grained traffic sign detection over a ...
Researchers in China developed MP-CBA-YOLO, a morphology-preserving, class-balanced object detection method that grades ginseng roots with expert-level accuracy despite scarce ...
Researchers have introduced HGA-Net, a hypergraph-based adapter that connects related examples within each mini-batch and achieves near-perfect fine-grained recognition with ...
Researchers have released EmbedKD, an open-source toolkit that brings verified diagnostics, retrieval protocols and reproducible deployment checks to the compression ...
Researchers in Qinghai have developed MHCNet, a hypergraph-based multimodal AI that classifies Tibetan medicinal plants with 98.11 percent accuracy by ...
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© 2025 Scienmag - Science Magazine