Watercolor2k

Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation

This paper proposes a two-step progressive domain adaptation technique by fine-tuning the detector on two types of artificially and automatically generated samples, and achieves an improvement of approximately 5 to 20 percentage points in terms of mean average precision (mAP) compared to the best-performing baselines.