2020
ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours
CVPR 2020poster
Contour shape alignment is a fundamental but challenging problem in computer vision, especially when the observations are partial, noisy, and largely misaligned. Recent ConvNet-based architectures that were proposed to align image structures tend to fail with contour representation of shapes, mostly…