Efficient and Accurate Object Extraction from Scanned Maps by Leveraging External Data and Learning Representative Context

Author:

Duan Weiwei1ORCID

Affiliation:

1. University of Southern California, Los Angeles, USA

Funder

the National Science Foundation

NVIDIA Corporation

the National Endowment for the Humanities

the University of Minnesota, Computer Science \& Engineering Faculty startup funds

Publisher

ACM

Reference9 articles.

1. W Duan Y Chiang S Leyk J H Uhl and C A Knoblock. [n. d.]. A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. In 2021 IEEE Big Data. W Duan Y Chiang S Leyk J H Uhl and C A Knoblock. [n. d.]. A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition. In 2021 IEEE Big Data.

2. W Duan , Y Chiang , S Leyk , J H Uhl , and C A Knoblock . 2020. Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning. IJGIS ( 2020 ). W Duan, Y Chiang, S Leyk, J H Uhl, and C A Knoblock. 2020. Automatic alignment of contemporary vector data and georeferenced historical maps using reinforcement learning. IJGIS (2020).

3. W Duan , Y-Y Chiang , S Leyk , J Uhl , and C Knoblock . 2021. Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images . IEEE. W Duan, Y-Y Chiang, S Leyk, J Uhl, and C Knoblock. 2021. Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images. IEEE.

4. Z Jiang , Y Zheng , H Tan , B Tang , and H Zhou . 2016. Variational deep embedding: An unsupervised and generative approach to clustering. arXiv:1611.05148 ( 2016 ). Z Jiang, Y Zheng, H Tan, B Tang, and H Zhou. 2016. Variational deep embedding: An unsupervised and generative approach to clustering. arXiv:1611.05148 (2016).

5. S Shit R Koner B Wittmann J Paetzold I Ezhov H Li J Pan S Sharifzadeh G Kaissis V Tresp etal [n. d.]. Relationformer: A unified framework for image-to-graph generation. In ECCV. S Shit R Koner B Wittmann J Paetzold I Ezhov H Li J Pan S Sharifzadeh G Kaissis V Tresp et al. [n. d.]. Relationformer: A unified framework for image-to-graph generation. In ECCV.

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