Semantic3D - Results

	Name	A_IoU	OA	[s]	IoU 1	IoU 2	IoU 3	IoU 4	IoU 5	IoU 6	IoU 7	IoU 8
1	ddnet	0.747	0.950	1.00	0.979	0.941	0.708	0.643	0.940	0.485	0.388	0.892
Anonymous submission
2	5354	0.763	0.948	100.00	0.967	0.927	0.700	0.625	0.942	0.508	0.494	0.938
Anonymous submission
3	3DNet	0.732	0.938	400.00	0.978	0.924	0.653	0.594	0.922	0.396	0.451	0.934
Anonymous submission
4	ConvPoint_Keras	0.777	0.950	1.00	0.959	0.900	0.791	0.705	0.963	0.433	0.561	0.907

5	GeomAdapt	0.752	0.947	1.00	0.963	0.897	0.709	0.672	0.960	0.457	0.458	0.903

6	Att_conv	0.707	0.936	1.00	0.963	0.896	0.683	0.607	0.928	0.415	0.272	0.898
Attentive Aggregation Networks for Efficient Semantic Segmentation of Large-Scale Point Clouds
7	WreathProdNet	0.771	0.946	1.00	0.952	0.871	0.753	0.671	0.961	0.513	0.510	0.934
@misc{wang2020equivariant, title={Equivariant Maps for Hierarchical Structures}, author={Renhao Wang and Marjan Albooyeh and Siamak Ravanbakhsh}, year={2020}, eprint={2006.03627}, archivePrefix={arXiv}, primaryClass={cs.LG} }
8	LightConvPoint.	0.746	0.941	1000000.00	0.947	0.852	0.774	0.704	0.940	0.529	0.294	0.926
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution -- https://arxiv.org/abs/2004.04462 implemented in LightConvPoint Framework
9	dp_v4	0.752	0.938	1000.00	0.947	0.840	0.734	0.629	0.964	0.454	0.511	0.939
Anonymous submission
10	conv_pts	0.765	0.934	2400.00	0.921	0.806	0.760	0.719	0.956	0.473	0.611	0.877
Generalizing discrete convolutions for unstructured point clouds, A. Boulch, Eurographics 3DOR, 2019
11	PointGCR	0.695	0.921	2.00	0.938	0.800	0.644	0.664	0.932	0.392	0.343	0.853
Global Context Reasoning for Semantic Segmentation of 3D Point Clouds. Submitted to WACV 2020
12	ILiDAR-C1DC	0.620	0.914	604800.00	0.918	0.798	0.576	0.672	0.938	0.294	0.209	0.557
Anonymous submission
13	PointConv_CE	0.710	0.923	1.00	0.924	0.796	0.727	0.620	0.937	0.406	0.446	0.825
Semantic Context Encoding for Accurate 3D Point Cloud Segmentation. IEEE Transactions on Multimedia 2020
14	SnapNet	0.674	0.910	0.00	0.896	0.795	0.748	0.561	0.909	0.365	0.343	0.772
Unstructured point cloud semantic labeling using deep segmentation networks. A. Boulch, B. Le Saux and N. Audebert, Eurographics 3DOR 2017
15	PointNet2_Demo	0.631	0.857	10000.00	0.819	0.781	0.643	0.517	0.759	0.364	0.437	0.726
https://github.com/IntelVCL/Open3D-PointNet2-Semantic3D, Yixing Lao
16	SPGraph_	0.762	0.929	10000.00	0.915	0.756	0.783	0.717	0.944	0.568	0.529	0.884
Large-scale Point cloud segmentation with superpoint graphs, Loic Landrieu and Martin Simonovsky, CVPR2018
17	pointnetpp_sem	0.521	0.825	10000.00	0.788	0.745	0.598	0.608	0.817	0.332	0.154	0.127
G. Dekeyser and M. Orhan
18	HarrisNet	0.623	0.881	0.00	0.818	0.737	0.742	0.625	0.927	0.283	0.178	0.671
Anonymous submission
19	Wow	0.720	0.906	1.00	0.864	0.703	0.695	0.680	0.969	0.434	0.523	0.895
Fast Point Cloud Registration Using Semantic Segmentation - DICTA 2019
20	super_ss	0.644	0.896	1.00	0.911	0.695	0.650	0.560	0.897	0.300	0.438	0.697
@inproceedings{contreras2019edge, title={Edge-Convolution Point Net for Semantic Segmentation of Large-Scale Point Clouds}, author={Contreras, Jhonatan and Denzler, Joachim}, booktitle={IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium}, pages={5236--5239}, year={2019}, organization={IEEE} }
21	TMLC-MS	0.494	0.850	38421.00	0.911	0.695	0.328	0.216	0.876	0.259	0.113	0.553
Timo Hackel, Jan D. Wegner, Konrad Schindler: Fast semantic segmentation of 3d point clouds with strongly varying density. ISPRS Annals - ISPRS Congress, Prague, 2016
22	TML-PC	0.391	0.745	0.00	0.804	0.661	0.423	0.412	0.647	0.124	0.000	0.058
Mind the gap: modeling local and global context in (road) networks: Javier Montoya, Jan D. Wegner, Lubor Ladicky, Konrad Schindler. In: German Conference on Pattern Recognition (GCPR), MÃ¼nster, Germany, 2014
23	FCNVoxNet	0.372	0.523	138929.00	0.066	0.272	0.580	0.364	0.809	0.283	0.095	0.509
Anonymous submission

@inproceedings{hackel2017isprs,
title={{SEMANTIC3D.NET: A new large-scale point cloud classification benchmark}},
author={Timo Hackel and N. Savinov and L. Ladicky and Jan D. Wegner and K. Schindler and M. Pollefeys},
booktitle={ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
year = {2017},
volume = {IV-1-W1},
pages = {91--98}
}

semantic-8 results

References