2 papers
cs.CV2025
ShapeEmbed: a self-supervised learning framework for 2D contour quantification
Anna Foix Romero, Craig Russell, Alexander Krull +1
The shape of objects is an important source of visual information in a wide range of applications. One of the core challenges of shape quantification is to ensure that the extracte…
cs.CV2024
WiNet: Wavelet-based Incremental Learning for Efficient Medical Image Registration
Xinxing Cheng, Xi Jia, Wenqi Lu +4
Deep image registration has demonstrated exceptional accuracy and fast inference. Recent advances have adopted either multiple cascades or pyramid architectures to estimate dense d…