Progressive Feature Polishing Network for Salient Object Detection

Understand

Feature matters for salient object detection.

• Existing methods mainly focus on designing a sophisticated structure to incorporate multi-level features and filter out cluttered features.
• We present Progressive Feature Polishing Network (PFPN), a simple yet effective framework to progressively polish the multi-level features to be more accurate and representative.
• By employing multiple Feature Polishing Modules (FPMs) in a recurrent manner, our approach is able to detect salient objects with fine details without any post-processing.