Filters








5 Hits in 2.4 sec

AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification [article]

Gabriel Machado, Edemir Ferreira, Keiller Nogueira, Hugo Oliveira, Pedro Gama, Jefersson A. dos Santos
2020 arXiv   pre-print
In this paper, we present two new publicly available datasets named \thedataset~and CV-BrCT.  ...  We design an extensive set of experiments concerning multi-view scene classification, using early and late fusion.  ...  In summary, the contributions of this work are: (i) two novel multi-view scene classification datasets, named AiRound and CV-BrCT, (ii) a full evaluation of the proposed datasets in image classification  ... 
arXiv:2008.01133v1 fatcat:r55v5b7vbjchpg726fhteq5vae

AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification

Gabriel Machado, Edemir Ferreira, Keiller Nogueira, Hugo Neves Oliveira, Matheus Brito Faria, Pedro Henrique Targino Gama, Jefersson A. Dos Santos
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this article, we present two new publicly available datasets named AiRound and CV-BrCT.  ...  We design an extensive set of experiments concerning multiview scene classification, using early and late fusion.  ...  ACKNOWLEDGMENT The authors would like to thank NVIDIA for the donation of the GPUs that allowed the execution of all experiments in this article.  ... 
doi:10.1109/jstars.2020.3033424 fatcat:gfvv66tuwjehhnq2jyyn6kocb4

Facing the Void: Overcoming Missing Data in Multi-View Imagery [article]

Gabriel Machado, Keiller Nogueira, Matheus Barros Pereira, Jefersson Alex dos Santos
2022 arXiv   pre-print
In this paper, we propose a novel technique for multi-view image classification robust to this problem.  ...  A systematic evaluation of the proposed algorithm was conducted using two multi-view aerial-ground datasets with very distinct properties.  ...  This work was supported in part by the Minas Gerais Research Funding Foundation (FAPEMIG) under Grant APQ-00449-17, by the National Council for Scientific and Technological Development (CNPq) under Grant  ... 
arXiv:2205.10592v1 fatcat:odxxl656s5gnbbud73cocg4tsi

Urban land-use analysis using proximate sensing imagery: a survey [article]

Zhinan Qiao, Xiaohui Yuan
2021 arXiv   pre-print
This paper reviews and summarizes the state-of-the-art methods and publicly available datasets from proximate sensing to support land-use analysis.  ...  Studies leveraging proximate sensing imagery have demonstrated great potential to address the need for local data in urban land-use analysis.  ...  Among these data sets, BIC GSV, AiRound, CV-BrCT, and Brooklyn and Queens data sets are designed specifically for the task of urban land-use related classification.  ... 
arXiv:2101.04827v2 fatcat:xrx2crdw2ncqhlce4f3wlndvmm

2021 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14

2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  ., +, JSTARS 2021 402-415 AiRound and CV-BrCT: Novel Multiview Datasets for Scene Classification.  ... 
doi:10.1109/jstars.2022.3143012 fatcat:dnetkulbyvdyne7zxlblmek2qy