Fetching the paper…
Reading the bibliography…
Although various 3D datasets with different functions and scales have been proposed recently, it remains challenging for individuals to complete the whole pipeline of large-scale data collection, sanitization, and annotation.
Segmentation of individual tree crowns in colour aerial photographs using region growing supported by fuzzy rules
Mats Erikson · 2003
Earlier work this paper cites.
Openstreetmap: User-generated street maps
Mordechai Haklay and Patrick Weber · 2008
Earlier work this paper cites.
The national map—elevation
Dean Gesch, Gayla Evans, James Mauck, John Hutchinson, William J Carswell Jr, et al · 2009
Earlier work this paper cites.
The isprs benchmark on urban object classification and 3d building reconstruction
Franz Rottensteiner, Gunho Sohn, Jaewook Jung, Markus Gerke, Caroline Baillard, Sebastien Benitez, and Uwe Breitkopf · 2012
Earlier work this paper cites.
Indoor segmentation and support inference from rgbd images
Nathan Silberman, Derek Hoiem, Pushmeet Kohli, and Rob Fergus · 2012
Earlier work this paper cites.
Las specification 1.4-r14, 2013
ASPRS · 2013
Earlier work this paper cites.
Unsupervised feature learning for classification of outdoor 3d scans
Mark De Deuge, Alastair Quadros, Calvin Hung, and Bertrand Douillard · 2013
Earlier work this paper cites.
Efficient multi-cue scene segmentation
Timo Scharwächter, Markus Enzweiler, Uwe Franke, and Stefan Roth · 2013
Earlier work this paper cites.
Paris-rue-madame database: a 3d mobile laser scanner dataset for benchmarking urban detection, segmentation and classification methods
Andrés Serna, Beatriz Marcotegui, François Goulette, and Jean-Emmanuel Deschaud · 2014
Earlier work this paper cites.
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
Earlier work this paper cites.
Sun rgb-d: A rgb-d scene understanding benchmark suite
Shuran Song, Samuel P. Lichtenberg, and Jianxiong Xiao · 2015
Earlier work this paper cites.
Terramobilita/iqmulus urban point cloud analysis benchmark
Bruno Vallet, Mathieu Brédif, Andrés Serna, Beatriz Marcotegui, and Nicolas Paparoditis · 2015
Earlier work this paper cites.
3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
Earlier work this paper cites.
Construction performance monitoring via still images, time-lapse photos, and video streams: Now, tomorrow, and the future
Jun Yang, Man-Woo Park, Patricio A Vela, and Mani Golparvar-Fard · 2015
Earlier work this paper cites.
Virtual worlds as proxy for multi-object tracking analysis
Adrien Gaidon, Qiao Wang, Yohann Cabon, and Eleonora Vig · 2016
Earlier work this paper cites.
Visual monitoring of civil infrastructure systems via camera-equipped unmanned aerial vehicles (uavs): a review of related works
Youngjib Ham, Kevin K Han, Jacob J Lin, and Mani Golparvar-Fard · 2016
Earlier work this paper cites.
Playing for data: Ground truth from computer games
Stephan R Richter, Vibhav Vineet, Stefan Roth, and Vladlen Koltun · 2016
Earlier work this paper cites.
The synthia dataset: A large collection of synthetic images for semantic segmentation of urban scenes
German Ros, Laura Sellart, Joanna Materzynska, David Vazquez, and Antonio M Lopez · 2016
Earlier work this paper cites.
Producing usable simulation terrain data from uas-collected imagery
Ryan Spicer, Ryan McAlinden, Damon Conover, and M Adelphi · 2016
Earlier work this paper cites.
A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas · 2016
Earlier work this paper cites.
Joint 2d-3d-semantic data for indoor scene understanding
Iro Armeni, Sasha Sax, Amir R Zamir, and Silvio Savarese · 2017
Earlier work this paper cites.
Matterport3D: Learning from RGB-D data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
Earlier work this paper cites.
Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 2017
Earlier work this paper cites.
CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
Earlier work this paper cites.
SEMANTIC3D.NET: A new large-scale point cloud classification benchmark
Timo Hackel, Nikolay Savinov, Lubor Ladicky, Jan D. Wegner, Konrad Schindler, and Marc Pollefeys · 2017
Cited alongside, same era.
Driving in the matrix: Can virtual worlds replace human-generated annotations for real world tasks?
Matthew Johnson-Roberson, Charles Barto, Rounak Mehta, Sharath Nittur Sridhar, Karl Rosaen, and Ram Vasudevan · 2017
Cited alongside, same era.
Deep learning based oil palm tree detection and counting for high-resolution remote sensing images
Weijia Li, Haohuan Fu, Le Yu, and Arthur Cracknell · 2017
Cited alongside, same era.
Unsupervised image-to-image translation networks
Ming-Yu Liu, Thomas Breuel, and Jan Kautz · 2017
Cited alongside, same era.
Unpaired image-to-image translation using cycle-consistent adversarial networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A Efros · 2017
Cited alongside, same era.
Pointgroup: Dual-set point grouping for 3d instance segmentation
Li Jiang, Hengshuang Zhao, Shaoshuai Shi, Shu Liu, Chi-Wing Fu, and Jiaya Jia · 2020
Later among the works it cites.
Campus3d: A photogrammetry point cloud benchmark for hierarchical understanding of outdoor scene
Xinke Li, Chongshou Li, Zekun Tong, Andrew Lim, Junsong Yuan, Yuwei Wu, Jing Tang, and Raymond Huang · 2020
Later among the works it cites.
Semanticposs: A point cloud dataset with large quantity of dynamic instances
Yancheng Pan, Biao Gao, Jilin Mei, Sibo Geng, Chengkun Li, and Huijing Zhao · 2020
Later among the works it cites.
Contrastive learning for unpaired image-to-image translation
Taesung Park, Alexei A Efros, Richard Zhang, and Jun-Yan Zhu · 2020
Later among the works it cites.
Syn2real: A new benchmark for synthetic-to-real visual domain adaptation
Xingchao Peng, Ben Usman, Kuniaki Saito, Neela Kaushik, Judy Hoffman, and Kate Saenko · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Xun Huang, Ming-Yu Liu, Serge Belongie, and Jan Kautz · 2018
Cited alongside, same era.
Large-scale point cloud semantic segmentation with superpoint graphs
Loic Landrieu and Martin Simonovsky · 2018
Cited alongside, same era.
Diverse image-to-image translation via disentangled representations
Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, and Ming-Hsuan Yang · 2018
Cited alongside, same era.
Paris-lille-3d: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification
Xavier Roynard, Jean-Emmanuel Deschaud, and François Goulette · 2018
Cited alongside, same era.
Airsim: High-fidelity visual and physical simulation for autonomous vehicles
Shital Shah, Debadeepta Dey, Chris Lovett, and Ashish Kapoor · 2018
Cited alongside, same era.
A lidar point cloud generator: from a virtual world to autonomous driving
Xiangyu Yue, Bichen Wu, Sanjit A Seshia, Kurt Keutzer, and Alberto L Sangiovanni-Vincentelli · 2018
Cited alongside, same era.
Semantickitti: A dataset for semantic scene understanding of lidar sequences
Jens Behley, Martin Garbade, Andres Milioto, Jan Quenzel, Sven Behnke, Cyrill Stachniss, and Jurgen Gall · 2019
Cited alongside, same era.
Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, and Dragomir Anguelov · 2020
Later among the works it cites.
Toronto-3d: A large-scale mobile lidar dataset for semantic segmentation of urban roadways
Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, and Jonathan Li · 2020
Later among the works it cites.
Cspc-dataset: new lidar point cloud dataset and benchmark for large-scale scene semantic segmentation
Guofeng Tong, Yong Li, Dong Chen, Qi Sun, Wei Cao, and Guiqiu Xiang · 2020
Later among the works it cites.
Dales: a large-scale aerial lidar data set for semantic segmentation
Nina Varney, Vijayan K Asari, and Quinn Graehling · 2020
Later among the works it cites.
Lasdu: A large-scale aerial lidar dataset for semantic labeling in dense urban areas
Zhen Ye, Yusheng Xu, Rong Huang, Xiaohua Tong, Xin Li, Xiangfeng Liu, Kuifeng Luan, Ludwig Hoegner, and Uwe Stilla · 2020
Later among the works it cites.
Framework for a uas-based assessment of energy performance of buildings
Alexander Benz, Jakob Taraben, Paul Debus, Bedilu Habte, Luise Oppermann, Norman Hallermann, Conrad Voelker, Volker Rodehorst, and Guido Morgenthal · 2021
Later among the works it cites.
Semantic segmentation on swiss3dcities: A benchmark study on aerial photogrammetric 3d pointcloud dataset
Gülcan Can, Dario Mantegazza, Gabriele Abbate, Sébastien Chappuis, and Alessandro Giusti · 2021
Later among the works it cites.
Scf-net: Learning spatial contextual features for large-scale point cloud segmentation
Siqi Fan, Qiulei Dong, Fenghua Zhu, Yisheng Lv, Peijun Ye, and Fei-Yue Wang · 2021
Later among the works it cites.
Are we hungry for 3d lidar data for semantic segmentation? a survey of datasets and methods
Biao Gao, Yancheng Pan, Chengkun Li, Sibo Geng, and Huijing Zhao · 2021
Later among the works it cites.
The hessigheim 3d (h3d) benchmark on semantic segmentation of high-resolution 3d point clouds and textured meshes from uav lidar and multi-view-stereo
Michael Kölle, Dominik Laupheimer, Stefan Schmohl, Norbert Haala, Franz Rottensteiner, Jan Dirk Wegner, and Hugo Ledoux · 2021
Later among the works it cites.
EDEN: Multimodal Synthetic Dataset of Enclosed garDEN Scenes
Hoang-An Le, Partha Das, Thomas Mensink, Sezer Karaoglu, and Theo Gevers · 2021
Later among the works it cites.
An optimized approach for generating dense thermal point clouds from uav-imagery
Alfonso López, Juan M Jurado, Carlos J Ogayar, and Francisco R Feito · 2021
Later among the works it cites.
Nerf in the wild: Neural radiance fields for unconstrained photo collections
Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, and Daniel Duckworth · 2021
Later among the works it cites.
Semantic segmentation for real point cloud scenes via bilateral augmentation and adaptive fusion
Shi Qiu, Saeed Anwar, and Nick Barnes · 2021
Later among the works it cites.
Spatial knowledge and firefighters’ wayfinding performance: A virtual reality search and rescue experiment
Yangming Shi, John Kang, Pengxiang Xia, Oshin Tyagi, Ranjana K Mehta, and Jing Du · 2021
Later among the works it cites.
Citynerf: Building nerf at city scale
Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Anyi Rao, Christian Theobalt, Bo Dai, and Dahua Lin · 2021
Later among the works it cites.
Synlidar: Learning from synthetic lidar sequential point cloud for semantic segmentation
Aoran Xiao, Jiaxing Huang, Dayan Guan, Fangneng Zhan, and Shijian Lu · 2021
Later among the works it cites.
Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun · 2021
Later among the works it cites.