READING NOTE: Feature Pyramid Networks for Object Detection

TITLE: Feature Pyramid Networks for Object Detection

AUTHOR: Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie

ASSOCIATION: Facebook AI Research, Cornell University and Cornell Tech

FROM: arXiv:1612.03144

CONTRIBUTIONS

A new topdown architecture with lateral connections is developed for building high-level semantic feature maps at all scales is proposed. This architecture, called a Feature Pyramid Network (FPN), shows significant improvement as a generic feature extractor in several applications.

METHOD

The idea of this work is simple and is illustrated in the following figure

Similar with SSD, predictions are made in different scales. But connects exist between different scales. Though the author calls the connections as lateral connections, it is actually skip connections among different layers, just like what ResNet does.