This article presents how a recently introduced effective approach to multiscale skeletonization can be further enhanced in accuracy and isotropy by ...
This article presents how a recently introduced effective approach to multiscale skeletonization can be further enhanced in accuracy and isotropy by ...
This study carefully optimized polyacrylamide gels, commonly used as compliant growth substrates, considering their homogeneity in surface topography, ...
This paper presents an active learning method for the skeleton-based action recognition model, which boosts the performance of the model with less labeled data ...
ABSTRACT. To learn from the numerous unlabeled data for smart infrastructure, we propose Enhanced Multi-Task Self-Supervised Learning (EMS2L) for.
May 8, 2024 · By focusing on the dynamic changes in body joints, skeletons provide robust features against challenges such as occlusion and varying clothing.
Missing: multiscale | Show results with:multiscale
This article presents how a recently introduced effective approach to multiscale skeletonization can be further enhanced in accuracy and isotropy by ...
Aug 8, 2024 · Segment Anything Model (SAM) has been proposed as a visual fundamental model, which gives strong segmentation and generalization capabilities.
This paper presents an active learning method for the skeleton-based action recognition model, which boosts the performance of the model with less labeled data.
This letter describes a new and much faster approach where the calculation of the multiscale SAT is performed only along the neighborhood of the growing ...