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06/29/2023
Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion
Multimodal Named Entity Recognition (MNER) is a crucial task for informa...
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06/20/2021
Remote Sensing Images Semantic Segmentation with General Remote Sensing Vision Model via a Self-Supervised Contrastive Learning Method
A new learning paradigm, self-supervised learning (SSL), can be used to ...
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09/28/2020
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification
Training a modern deep neural network on massive labeled samples is the ...
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04/18/2020
DAPnet: A double self-attention convolutional network for segmentation of point clouds
LiDAR point cloud has a complex structure and the 3D semantic labeling o...
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03/07/2020
DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Change detection is a basic task of remote sensing image processing. The...
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01/27/2020
Convolution Neural Network Architecture Learning for Remote Sensing Scene Classification
Remote sensing image scene classification is a fundamental but challengi...
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12/25/2018