Results and Analysis.Training from scratch to match accuracy, 5p, mask RCNN 의 fine-tuning에 대한 강점에도* 불구하고, fine-tuning works well for the models with pre-training to converge to near optimum. Models trained from scratch can catch up with their fine-tuning counterparts standard COCO training set, ImageNet pretraining mainly helps to speed up convergence on the target task early on in training, but shows little or no evidence of improving the final detection accuracy. 실험**