object detection

Despite recent advances in machine learning, it is still challenging to realize real-time and accurate detection in images. In this paper, we propose what is termed the gated bidirectional feature pyramid network (GBFPN), a simple and effective architecture that provides a significant improvement over the baseline model, StairNet.

It is widely recognized that one-stage detectors have difficulty in detecting small objects while they are competitive with two-stage methods on large objects. We address this problem by introducing a feature combining module that spreads out the strong semantics in a top-down manner.