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Multi-Attention-Network for Semantic Segmentation of Fine Resolution Remote Sensing Images
3 September 2020
Rui Li
Shunyi Zheng
Chenxi Duan
Ce Zhang
Jianlin Su
P. M. Atkinson
SSeg
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Papers citing
"Multi-Attention-Network for Semantic Segmentation of Fine Resolution Remote Sensing Images"
32 / 82 papers shown
Title
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Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models
Xin-Yi Tong
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
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Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
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Bertrand Le Saux
Sébastien Lefèvre
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Xinyu Wang
Ross B. Girshick
Abhinav Gupta
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Rethinking Atrous Convolution for Semantic Image Segmentation
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Attention Is All You Need
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Niki Parmar
Jakob Uszkoreit
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Bharath Hariharan
Serge J. Belongie
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Jan Dirk Wegner
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Uwe Stilla
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Jianping Shi
Xiaojuan Qi
Xiaogang Wang
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Aggregated Residual Transformations for Deep Neural Networks
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Ross B. Girshick
Piotr Dollár
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522
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High-Resolution Semantic Labeling with Convolutional Neural Networks
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Pierre Alliez
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Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery
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Alexander A. Alemi
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V. Koltun
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Alexander C. Berg
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George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
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Ping Luo
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