Robust salient object detection based on triple attention-guided multi-resolution fusion and feature refinement.

ABSTRACT: Salient object detection (SOD) is dedicated to highlighting the critical image elements in complex visual scenes. However, this task faces two serious challenges: first, salient objects are often submerged in cluttered backgrounds and are susceptible to disturbance from background noise; second, the substantial scale variation among these objects presents considerable challenges for accurate detection. In order to address these challenges, an attention-based method for salient object detection is proposed. Firstly, we innovatively design a Triple Attention-guided Multi-resolution Fusion (TAMF) module, which integrates a spatial, channel, and global attention mechanism to dynamically adjust feature weights to suppress background noise. At the same time, it introduces a multi-resolution feat

SUBMITTER: Wei G 

PROVIDER: S-EPMC12935257 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature