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Found 5 papers, 1 papers with code
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI
We propose an anomaly detection method based on a novel center-based deep contrastive metric learning loss function (cDCM) which enables the automatic detection of cases of potential PMG.
Detail Preserving Residual Feature Pyramid Modules for Optical Flow
RFPM incorporates a residual structure between multiple feature pyramids into a downsampling module that corrects the blending of objects across boundaries.
Fully Convolutional Network for Melanoma Diagnostics
Given the qualitative and quantitative results, it is possible to overcome the discriminative challenges of the skin and tumour anatomy for segmentation using modern machine learning techniques, though more work is required to improve the network's performance on dermis segmentation.
Estimation of Human Body Shape and Posture Under Clothing
Our method can estimate the body shape and posture of both static scans and motion sequences of dressed human body scans.
Finite Element Based Tracking of Deforming Surfaces
Our method combines the use of prior information on the geometry of the object modeled by a smooth template and the use of a linear finite element method to predict the deformation.
