Implements a one-shot object detection approach that uses co-attention and co-excitation mechanisms to detect novel objects from a single reference example. The implementation builds on Faster R-CNN architecture with a ResNet50 backbone pretrained on ImageNet (excluding COCO-overlapping classes). The model supports training and evaluation on COCO dataset.