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Compared with MS-COCO, the dataset for the competition has a largerproportion of large objects which area is greater than 96x96 pixels. As gettingfine boundaries is vitally important for large object segmentation, Mask R-CNNwith PointRend is selected as the base segmentation framework to outputhigh-quality object boundaries. Besides, a better engine that integratesResNeSt, FPN and DCNv2, and a range of effective tricks that includingmulti-scale training and test time augmentation are applied to improvesegmentation performance. Our best performance is an ensemble of four models(three PointRend-based models and SOLOv2), which won the 2nd place inIJCAI-PRICAI 3D AI Challenge 2020: Instance Segmentation.

2nd Place Solution to Instance Segmentation of IJCAI 3D AI Challenge 2020