FBSubnet, or Feature Pyramid Network (FPN) based on a backbone subnet, is a neural network architecture designed for object detection tasks. It was introduced in a research paper by Facebook AI researchers as a modification to the original FPN architecture. The goal of FBSubnet is to improve the efficiency and accuracy of object detection models by enhancing the feature extraction and representation capabilities of the backbone network.
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