LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment
Author:
Affiliation:
1. Shanghai Jiaotong Univeristy,School of Electronic Information and Electrical Engineering,China
2. East China Normal University,Department of Computer Science and Engineering,China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Chongqing
Tencent
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377072.pdf?arnumber=10377072
Reference44 articles.
1. TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
2. Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI Dataset
3. SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences
4. The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks
5. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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