Instance segmentation requires precisely outlining object boundaries in images using polygonal masks. Conventional single-scale annotations often fail to represent multi-scale appearance variations, which limits segmentation accuracy and reduces the semantic richness available to learning algorithms. We introduce...
Adem Kosar, O. Korkmaz, Tolga Turay et al.· Scientific Reports· 0 citations
The channel-gated model is the most accurate of the authors' learned fusion arms on clean data and its gates suppress the natively biased foot-orientation channels on clean real data without test-time supervision and flag dropout bursts at 0.92-0.999 AUROC.
Zhi-Lin Guo, Bo-Qiao Zhang, O. Urbán et al.· 0 citations
A multimodal capture pipeline is built that records four-view RGB-D video together with an AirPods head IMU and two Striv insole IMUs, synchronize the streams post-hoc, and generate pseudo-ground-truth with SAM 3D Body, yielding a 35-take single-subject benchmark spanning gait, turning, vertical, everyday, and clinical...
Zhi-Lin Guo, Bo-Qiao Zhang, O. Urbán et al.· 1 citation
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