LAUSR

Hybrid transformer-CNN networks using superpixel segmentation for remote sensing building change detection

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2 Published in 2023 at "International Journal of Remote Sensing"

DOI: 10.1080/01431161.2023.2208711

Abstract: ABSTRACT Convolution in convolutional neural network(CNN) essentially uses a filter (kernel) with shared parameters to achieve feature extraction by computing the weighted sum of the centre pixel and adjacent pixels. The transformer divides the input… read more here.

Keywords: hybrid transformer; remote sensing; transformer cnn; cnn ... See more keywords

DHT: Deformable Hybrid Transformer for Aerial Image Segmentation

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1 Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3222916

Abstract: Due to the strong ability to model global information, the transformer-based methods have shown remarkable improvements in the image segmentation tasks. However, the self-attention mechanism in the transformer is computationally expensive and relies on pretrained… read more here.

Keywords: information; hybrid transformer; deformable hybrid; image segmentation ... See more keywords

Hybrid Transformer-CNN for Real Image Denoising

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2 Published in 2022 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2022.3176486

Abstract: Transformer typically enjoys larger model capacity but higher computational loads than convolutional neural network (CNN) in vision tasks. In this letter, the advantages of such two networks are fused for achieving effective and efficient real… read more here.

Keywords: hybrid transformer; cnn; real image; image denoising ... See more keywords

When Multigranularity Meets Spatial–Spectral Attention: A Hybrid Transformer for Hyperspectral Image Classification

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2 Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3242978

Abstract: The transformer framework has shown great potential in the field of hyperspectral image (HSI) classification due to its superior global modeling capabilities compared to convolutional neural networks (CNNs). To utilize the transformer to model spatial–spectral… read more here.

Keywords: hybrid transformer; spatial spectral; classification; multigranularity ... See more keywords

An ISOP Hybrid DC Transformer Combining Multiple SRCs and DAB Converters to Interconnect MVDC and LVDC Distribution Networks

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1 Published in 2020 at "IEEE Transactions on Power Electronics"

DOI: 10.1109/tpel.2020.2983954

Abstract: A hybrid dc transformer (DCT) combining multiple series resonant converters (SRCs) and dual-active bridge (DAB) converters with input-series-output-parallel (ISOP) configuration is proposed in this article. The proposed DCT is suitable for connecting medium-voltage dc and… read more here.

Keywords: hybrid transformer; combining multiple; distribution networks; dab converters ... See more keywords