Boundary Attention: Learning to Localize Boundaries under High Noise

arXiv:2401.00935v2 Announce Type: replace
Abstract: We present a differentiable model that infers explicit boundaries, including curves, corners and junctions, using a mechanism that we call boundary attention. Boundary attention is a boundary-aware local attention operation that, when applied densely and repeatedly, progressively refines a field of variables that specify an unrasterized description of the local boundary structure in every overlapping patch within an image. It operates in a bottom-up fashion, similar to classical methods for sub-pixel edge localization and edge-linking, …

abstract arxiv attention call cs.cv differentiable local attention noise type variables