FastMask: Segment Multi-scale Object Candidates in One Shot

Understand

Objects appear to scale differently in natural images.

• This fact requires methods dealing with object-centric tasks (e.g.
• object proposal) to have robust performance over variances in object scales.
• In the paper, we present a novel segment proposal framework, namely FastMask, which takes advantage of hierarchical features in deep convolutional neural networks to segment multi-scale objects in one shot.