CenterLPS: Segment Instances by Centers for LiDAR Panoptic Segmentation
Author:
Affiliation:
1. Zhejiang University, Hangzhou, China
Funder
This work was supported by a Grant from The National Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3581783.3612080
Reference47 articles.
1. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
2. Jens Behley , Andres Milioto , and Cyrill Stachniss . 2021. A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. In 2021 IEEE Int'l Conf. on Robotics and Automation (ICRA) . IEEE , 13596--13603. Jens Behley, Andres Milioto, and Cyrill Stachniss. 2021. A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI. In 2021 IEEE Int'l Conf. on Robotics and Automation (ICRA). IEEE, 13596--13603.
3. The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
4. End-to-End Object Detection with Transformers
5. Masked-attention Mask Transformer for Universal Image Segmentation
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