Abstract
We investigate the effect of style and category similarity in multiple datasets used for object detection pretraining. We find that including an additional stage of object-detection pretraining can increase the detection performance considerably. While our experiments suggest that style similarities between pre-training and target datasets are less important than matching categories, further experiments are needed to verify this hypothesis.
Abstract (translated)
我们研究了用于对象检测预训练的多个数据集中风格和类别相似性的影响。我们发现,包括一个额外的对象检测预训练阶段可以极大地提高检测性能。虽然我们的实验表明,预训练和目标数据集的风格相似性比匹配类别更加重要,但需要进一步的实验来验证这一假设。
URL
https://arxiv.org/abs/2301.09906