Low-light Object Detection

arXiv:2405.03519v1 Announce Type: new
Abstract: In this competition we employed a model fusion approach to achieve object detection results close to those of real images. Our method is based on the CO-DETR model, which was trained on two sets of data: one containing images under dark conditions and another containing images enhanced with low-light conditions. We used various enhancement techniques on the test data to generate multiple sets of prediction results. Finally, we applied a clustering aggregation method guided by …

abstract arxiv competition cs.cv data detection detr fusion images light low object results type