naoto0804/cross-domain-detection
A research implementation of cross-domain weakly-supervised object detection using progressive domain adaptation with SSD-based models.

This repository implements the CVPR 2018 paper on cross-domain object detection through progressive domain adaptation. It uses Chainer and ChainerCV for deep learning-based object detection (SSD300 architecture) and applies domain transfer and pseudo-labeling techniques to adapt models across visual domains (e.g., from real images to watercolor or clipart). The approach enables object detection in target domains using only weak supervision from source domain annotations.