This repository provides code for knowledge distillation of anchor-based object detection models, enabling a smaller student model to learn from a larger teacher model. The approach focuses on inter-location discrepancy of feature responses near objects rather than just prediction confidence. The implementation includes Faster R-CNN with VGG11 as the student model, built on top of the pytorch-faster-rcnn framework.