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https://github.com/chenzhaiyu/awesome-building-detection

A curated list on building detection from remote sensing images
https://github.com/chenzhaiyu/awesome-building-detection

List: awesome-building-detection

building detection footprint papers remote-sensing satellite-images

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A curated list on building detection from remote sensing images

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# Awesome-Building-Detection
Resources for Building Detection from Remote Sensing Images

## Workshops
* [DeepGlobe - CVPR 2018](http://deepglobe.org)
* [EarthVision - CVPR 2019](https://www.grss-ieee.org/earthvision2019/)

## Challenges
* [Mapping Challenge by crowdAI](https://www.crowdai.org/challenges/mapping-challenge)

## Papers
### Reviews
| Title | Authors | Venue | Year | Resources |
| ----- | ------- | ----- | ---- | --------- |
| DeepGlobe 2018: A Challenge to Parse the Earth Through Satellite Images | Ilke Demir, et al. | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Demir_DeepGlobe_2018_A_CVPR_2018_paper.pdf)] |

### Segmentation Based
| Title | Authors | Venue | Year | Resources |
| ----- | ------- | ----- | ---- | --------- |
| Building Detection From Satellite Imagery Using Ensemble of Size-Specific Detectors | Ryuhei Hamaguchi, Shuhei Hikosaka | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Hamaguchi_Building_Detection_From_CVPR_2018_paper.pdf)] |
| Semantic Binary Segmentation Using Convolutional Networks Without Decoders | Shubhra Aich et al. | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Aich_Semantic_Binary_Segmentation_CVPR_2018_paper.pdf)] |
| Residual Inception Skip Network for Binary Segmentation | Jigar Doshi | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Doshi_Residual_Inception_Skip_CVPR_2018_paper.pdf)] |
| Building Detection From Satellite Imagery Using a Composite Loss Function | Sergey Golovanov et al. | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Golovanov_Building_Detection_From_CVPR_2018_paper.pdf)] |
| TernausNetV2: Fully Convolutional Network for Instance Segmentation | Vladimir Iglovikov et al. | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Iglovikov_TernausNetV2_Fully_Convolutional_CVPR_2018_paper.pdf)] |
| Semantic Segmentation Based Building Extraction Method Using Multi-Source GIS Map Datasets and Satellite Imagery | Weijia Li et al. | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Li_Semantic_Segmentation_Based_CVPR_2018_paper.pdf)] |
| CNNs Fusion for Building Detection in Aerial Images for the Building Detection Challenge | Remi Delassus et al. | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Delassus_CNNs_Fusion_for_CVPR_2018_paper.pdf)] |
| Building Extraction From Satellite Images Using Mask R-CNN With Building Boundary Regularization | Kang Zhao et al. | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Zhao_Building_Extraction_From_CVPR_2018_paper.pdf)] |
| Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks | Benjamin Bischke el al. | ICIP | 2019 | [[PDF](https://arxiv.org/pdf/1709.05932.pdf)] |

### Footprint Regression
| Title | Authors | Venue | Year | Resources |
| ----- | ------- | ----- | ---- | --------- |
| Rotated Rectangles for Symbolized Building Footprint Extraction | Matt Dickenson et al. | CVPR Workshop | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018_workshops/papers/w4/Dickenson_Rotated_Rectangles_for_CVPR_2018_paper.pdf)] |

### Active Contour Based
| Title | Authors | Venue | Year | Resources |
| ----- | ------- | ----- | ---- | --------- |
| Learning deep structured active contours end-to-end | Diego Marcos et al. | CVPR | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018/papers/Marcos_Learning_Deep_Structured_CVPR_2018_paper.pdf)] |
| DARNet: Deep Active Ray Network for Building Segmentation | Dominic Cheng et al. | CVPR | 2019 | [[PDF](http://openaccess.thecvf.com/content_CVPR_2019/papers/Cheng_DARNet_Deep_Active_Ray_Network_for_Building_Segmentation_CVPR_2019_paper.pdf)] |
| End-to-End Deep Convolutional Active Contours for Image Segmentation | Ali Hatamizadeh et al. | arXiv | 2019 | [[PDF](https://arxiv.org/pdf/1909.13359.pdf)] |
| Deep Snake for Real-Time Instance Segmentation | Sida Peng et al. | CVPR | 2020 | [[PDF](https://arxiv.org/pdf/2001.01629.pdf)] |

### Polygon Based
| Title | Authors | Venue | Year | Resources |
| ----- | ------- | ----- | ---- | --------- |
| Annotating Object Instances with a Polygon-RNN | Agata Mosinska et al. | CVPR | 2017 | [[PDF](https://arxiv.org/pdf/1704.05548.pdf)] |
| Efficient Interactive Annotation of Segmentation Datasets with Polygon-RNN++ | David Acuna et al. | CVPR | 2018 | [[PDF](http://openaccess.thecvf.com/content_cvpr_2018/papers/Acuna_Efficient_Interactive_Annotation_CVPR_2018_paper.pdf)] |
| Fast Interactive Object Annotation With Curve-GCN | Huan Ling et al. | CVPR | 2019 | [[PDF](https://arxiv.org/pdf/1903.06874.pdf)] |
| Topological Map Extraction From Overhead Images | Zuoyue Li et al. | ICCV | 2019 | [[PDF](http://openaccess.thecvf.com/content_ICCV_2019/papers/Li_Topological_Map_Extraction_From_Overhead_Images_ICCV_2019_paper.pdf)] |
| Approximating shapes in images with low-complexity polygons | Muxingzi Li et al. | CVPR | 2020 | [[PDF](https://hal.inria.fr/hal-02526028/document)] |

### Topology-Aware Loss
| Title | Authors | Venue | Year | Resources |
| ----- | ------- | ----- | ---- | --------- |
| Beyond the Pixel-Wise Loss for Topology-Aware Delineation | Lluís Castrejón et al. | CVPR | 2018 | [[PDF](https://arxiv.org/pdf/1712.02190.pdf)] |