Benchmarking the Robustness of LiDAR Semantic Segmentation Models

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Benchmarking the Robustness of LiDAR Semantic Segmentation Models

3 January 2023

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Papers citing "Benchmarking the Robustness of LiDAR Semantic Segmentation Models"

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Title
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud Bichen Wu Alvin Wan Xiangyu Yue Kurt Keutzer 3DPC 90 806 0 19 Oct 2017
Semantic Foggy Scene Understanding with Synthetic Data Daniel Gehrig Dengxin Dai Luc Van Gool 99 1,107 0 25 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,199 0 12 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 354 11,139 0 07 Jun 2017
Submanifold Sparse Convolutional Networks Benjamin Graham Laurens van der Maaten 79 467 0 05 Jun 2017
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,641 0 06 Apr 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,341 0 18 May 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 364 19,723 0 09 Mar 2015