Category-agnostic semantic edge detection by measuring neural representation randomness

Zhiyi Pan, Peng Jiang, Qiong Zeng, Ge Li, Changhe Tu

Abstract: Highlights•We first propose the category-agnostic semantic edge detection task.•We reveal the intrinsic information properties of semantic edges.•We propose a two-stage method under the guidance of information randomness metrics.•We provide thorough comparisons and mechanism studies to prove our superiority.