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Aito Fujita
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2020 – today
- 2024
- [j1]Ryuhei Hamaguchi, Aito Fujita, Keisuke Nemoto:
Small Object Segmentation Using Dilated Convolutions With Increasing-Decreasing Dilation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 19016-19034 (2024) - 2023
- [c4]Krzysztof Orzel, Aito Fujita, Mauro Mariotti D'Alessandro, Gerald Baier, Hajime Sugino, Mika Kontto, Simonas Garsva, Jan Krecke, James Imber, Asahi Fukuda, Shuji Fujimaru:
Synspective SAR Constellation Status Update: Recent Calval Activities and the Automatic Data Quality Assessment. IGARSS 2023: 1517-1520
2010 – 2019
- 2018
- [c3]Ryuhei Hamaguchi, Aito Fujita, Keisuke Nemoto, Tomoyuki Imaizumi, Shuhei Hikosaka:
Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery. WACV 2018: 1442-1450 - 2017
- [c2]Nevrez Imamoglu, Motoki Kimura, Hiroki Miyamoto, Aito Fujita, Ryosuke Nakamura:
Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Weakly-Supervised CNN with Feedback Features and m-PCNN Fusion. BMVC 2017 - [c1]Aito Fujita, Ken Sakurada, Tomoyuki Imaizumi, Riho Ito, Shuhei Hikosaka, Ryosuke Nakamura:
Damage detection from aerial images via convolutional neural networks. MVA 2017: 5-8 - [i2]Nevrez Imamoglu, Motoki Kimura, Hiroki Miyamoto, Aito Fujita, Ryosuke Nakamura:
Solar Power Plant Detection on Multi-Spectral Satellite Imagery using Convolutional Neural Networks with Feedback Model and m-PCNN Fusion. CoRR abs/1704.06410 (2017) - [i1]Ryuhei Hamaguchi, Aito Fujita, Keisuke Nemoto, Tomoyuki Imaizumi, Shuhei Hikosaka:
Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery. CoRR abs/1709.00179 (2017)
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last updated on 2024-12-02 22:29 CET by the dblp team
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