Long-Term Image Boundary Prediction

Understand

Boundary estimation in images and videos has been a very active topic of research, and organizing visual information into boundaries and segments is believed to be a corner stone of visual perception.

• While prior work has focused on estimating boundaries for observed frames, our work aims at predicting boundaries of future unobserved frames.
• This requires our model to learn about the fate of boundaries and corresponding motion patterns -- including a notion of "intuitive physics".
• We experiment on natural video sequences along with synthetic sequences with deterministic physics-based and agent-based motions.