Towards Segmenting Anything That Moves

Understand

Detecting and segmenting individual objects, regardless of their category, is crucial for many applications such as action detection or robotic interaction.

• While this problem has been well-studied under the classic formulation of spatio-temporal grouping, state-of-the-art approaches do not make use of learning-based methods.
• To bridge this gap, we propose a simple learning-based approach for spatio-temporal grouping.
• Our approach leverages motion cues from optical flow as a bottom-up signal for separating objects from each other.