The success of deep neural networks has resulted in state-of-the-art object detectors that obtain high accuracy on standard vision benchmarks (e.g. MS-COCO [], PASCAL VOC [], etc.), and are readily available for download as out-of-the-box detection models [17, 23].The authors hope to find a new algorithm based on unsupervised self-training that leverages large amounts of readily-available ...