Bilateral Attention Network for RGB-D Salient Object Detection

Understand

Most existing RGB-D salient object detection (SOD) methods focus on the foreground region when utilizing the depth images.

• However, the background also provides important information in traditional SOD methods for promising performance.
• To better explore salient information in both foreground and background regions, this paper proposes a Bilateral Attention Network (BiANet) for the RGB-D SOD task.
• Specifically, we introduce a Bilateral Attention Module (BAM) with a complementary attention mechanism: foreground-first (FF) attention and background-first (BF) attention.