3D Point Cloud Classification Challenge is one of the challenges of the 2019 IEEE GRSS Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee. The contest aims to promote research in semantic 3D reconstruction and stereo using machine intelligence and deep learning applied to satellite images.
The objective is to predict a semantic label for each 3D point in urban scenes.
For details about the 2019 IEEE GRSS Data Fusion Contest: http://www.grss-ieee.org/community/technical-committees/data-fusion/
The problem is to predict a semantic label for each 3D point. Each input is a lidar point cloud dataset in ASCII. You are intended to submit semantic labels in ASCII with the same number of rows as the input ASCII file.
The contest will consist of two phases:
Performance is assessed using the pixel-wise mean Intersection over Union (mIoU). The evaluation code is available at https://github.com/pubgeo/dfc2019.
The winners will have approximately one month (submission deadlline: April 26, 2019) to write their manuscript that will be included in the IGARSS 2019 proceedings. Manuscripts are 4-page IEEE-style formatted. Each manuscript describes the addressed problem, the proposed method, and the experimental results.
Participants of this challenge acknowledge that they have read and agree to the following Contest Terms and Conditions:
@InProceedings{US3D,
author = {Bosch, Marc and Foster, Kevin and Christie, Gordon and Wang, Sean and Hager, Gregory D and Brown, Myron},
title = {Semantic Stereo for Incidental Satellite Images},
booktitle = {The IEEE Winter Conference on Applications of Computer Vision},
month = {January},
year = {2019}
}
@Article{IADF_GRSM_201903,
author = {Saux, Bertrand Le and Yokoya, Naoto and Hänsch, Ronny and Brown, Myron and Hager, Greg},
title = {2019 IEEE GRSS Data Fusion Contest: Large-Scale Semantic 3D Reconstruction [Technical Committees]},
booktitle = {IEEE Geoscience and Remote Sensing Magazine},
month = {March},
year = {2019}
}
Start: Feb. 7, 2019, midnight
Description: Development phase: tune your models and submit prediction results on validation data.
Start: March 7, 2019, midnight
Description: Final phase: tune your models and submit prediction results on test data.
Start: March 23, 2019, midnight
Description: Future-development phase: tune your models and submit prediction results on test data.
Never
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Sign In# | Username | Score |
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1 | chd_jianfeng | 0.9202 |
2 | raomb | 0.9043 |
3 | rbync | 0.9010 |