2025
ShapeEmbed: a self-supervised learning framework for 2D contour quantification
NeurIPS 2025poster
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 extracted measurements remain invariant to transformations that preserve an object’s intrinsic geometry, such as changing its si…