Classification (TF-Cls) 'Clear', 'Closed', 'Broken', 'Blur' 6,247 3632 × 2760 4,687:561:999(75%:9%:16%) Object Detection (TF-Det) Inside, Middle, Outside Rings 4,736 ...
Today the world of Egyptology faces a silent crisis—not of looting, although that plays a part, but of disconnection. Walk into any major museum, from Copenhagen to California, and you see glass cases ...
Abstract: Traditional 3D object detectors, whether fully-, semi-, or weakly-supervised, rely heavily on extensive human annotations. In contrast, this paper introduces an unsupervised 3D object ...
Abstract: Camouflaged Object Segmentation (COS) faces significant challenges due to the scarcity of annotated data, where meticulous pixel-level annotation is both labor-intensive and costly, ...
In recent years, 3D printing has advanced rapidly. However, the technology has been trapped in a frustrating tug-of-war. If you wanted something precise, you had to wait hours. If you wanted something ...
Brain lesion segmentation from multi-modal MRI often assumes fixed modality sets or predefined pathologies, making existing models difficult to adapt across cohorts and imaging protocols. Continual ...
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