AugFPN: Improving Multi-scale Feature Learning for Object Detection

Understand

Current state-of-the-art detectors typically exploit feature pyramid to detect objects at different scales.

• Among them, FPN is one of the representative works that build a feature pyramid by multi-scale features summation.
• However, the design defects behind prevent the multi-scale features from being fully exploited.
• In this paper, we begin by first analyzing the design defects of feature pyramid in FPN, and then introduce a new feature pyramid architecture named AugFPN to address these problems.