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11/06/2021
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks
Multi-modality data is becoming readily available in remote sensing (RS)...
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09/03/2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Capturing global contextual representations by exploiting long-range pix...
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04/21/2020
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
We propose a novel architecture called the Multi-view Self-Constructing ...
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03/15/2020
Self-Constructing Graph Convolutional Networks for Semantic Labeling
Graph Neural Networks (GNNs) have received increasing attention in many ...
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03/09/2020
Dense Dilated Convolutions Merging Network for Land Cover Classification
Land cover classification of remote sensing images is a challenging task...
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09/07/2019
Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network
It is important, but challenging, for the forest industry to accurately ...
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08/30/2019
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images
We propose a network for semantic mapping called the Dense Dilated Convo...
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02/13/2019
Deep Divergence-Based Approach to Clustering
A promising direction in deep learning research consists in learning rep...
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09/21/2017
Urban Land Cover Classification with Missing Data Using Deep Convolutional Neural Networks
Automatic urban land cover classification is a classical problem in remo...
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02/23/2017
