Source-free Depth for Object Pop-out

Understand

Depth cues are known to be useful for visual perception.

• However, direct measurement of depth is often impracticable.
• Fortunately, though, modern learning-based methods offer promising depth maps by inference in the wild.
• In this work, we adapt such depth inference models for object segmentation using the objects' "pop-out" prior in 3D.