Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image

Jaeyoung Yoo, Hojun Lee, Inseop Chung +2

In multi-object detection using neural networks, the fundamental problem is, "How should the network learn a variable number of bounding boxes in different input images?". Previous…