Deep Residual Fourier and Self-Attention for Arbitrary Scale MRI Super-Resolution

An Adaptive Sample Assignment Network for Tiny Object Detection

DHNet: Salient Object Detection With Dynamic Scale-Aware Learning and Hard-Sample Refinement

Coarse to Fine: Weak Feature Boosting Network for Salient Object Detection

Skeletal saliency map computation based on projection symmetry analysis

Superpixel Segmentation of Brain MR Images Based on Probabilistic Weighted Geodesic Distance

2D skeleton extraction based on heat equation

Efficient topology preserving triangular remeshing algorithm with adaptive vertices insertion