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Towards Fine-grained Large Object Segmentation 1st Place Solution to 3D AI Challenge 2020 -- Instance Segmentation Track
April 5, 2024, 4:45 a.m. | Zehui Chen, Qiaofei Li, Feng Zhao
cs.CV updates on arXiv.org arxiv.org
Abstract: This technical report introduces our solutions of Team 'FineGrainedSeg' for Instance Segmentation track in 3D AI Challenge 2020. In order to handle extremely large objects in 3D-FUTURE, we adopt PointRend as our basic framework, which outputs more fine-grained masks compared to HTC and SOLOv2. Our final submission is an ensemble of 5 PointRend models, which achieves the 1st place on both validation and test leaderboards. The code is available at https://github.com/zehuichen123/3DFuture_ins_seg.
3d ai arxiv challenge cs.cv fine-grained instance object segmentation solution type
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