A Semantic Segmentation Method for Remote Sensing Images Based on the Swin Transformer Fusion Gabor Filter
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DOI: 10.1109/access.2022.3193248
Abstract: Semantic segmentation of remote sensing images is increasingly important in urban planning, autonomous driving, disaster monitoring, and land cover classification. With the development of high-resolution remote sensing satellite technology, multilevel, large-scale, and high-precision segmentation has… read more here.
Keywords: remote sensing; gabor filter; sensing images; swin transformer ... See more keywords
Two-Stage Underwater Object Detection Network Using Swin Transformer
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DOI: 10.1109/access.2022.3219592
Abstract: Underwater object detection plays an essential role in ocean exploration, and the increasing amount of underwater object image data makes the study of advanced underwater object detection algorithms of great practical significance. However, there are… read more here.
Keywords: network; underwater object; detection; object detection ... See more keywords
Optimizing and Evaluating Swin Transformer for Aircraft Classification: Analysis and Generalizability of the MTARSI Dataset
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DOI: 10.1109/access.2022.3231327
Abstract: Aircraft classification via remote sensing images has many commercial and military applications. The Swin-Transformer has shown great promise, recently dominating general-purpose image classification benchmarks such as ImageNet. In this paper, we test whether the performance… read more here.
Keywords: mtarsi dataset; aircraft; classification; swin transformer ... See more keywords
Fine-Tuning Swin Transformer and Multiple Weights Optimality-Seeking for Facial Expression Recognition
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DOI: 10.1109/access.2023.3237817
Abstract: Facial expression recognition plays a key role in human-computer emotional interaction. However, human faces in real environments are affected by various unfavorable factors, which will result in the reduction of expression recognition accuracy. In this… read more here.
Keywords: weights optimality; swin transformer; optimality seeking; expression recognition ... See more keywords
DenseTrans: Multimodal Brain Tumor Segmentation Using Swin Transformer
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DOI: 10.1109/access.2023.3272055
Abstract: Aiming at the task of automatic brain tumor segmentation, this paper proposes a new DenseTrans network. In order to alleviate the problem that convolutional neural networks(CNN) cannot establish long-distance dependence and obtain global context information,… read more here.
Keywords: swin transformer; tumor; brain tumor; tumor segmentation ... See more keywords
SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3190322
Abstract: Easy and efficient acquisition of high-resolution remote sensing images is of importance in geographic information systems. Previously, deep neural networks composed of convolutional layers have achieved impressive progress in super-resolution reconstruction. However, the inherent problems… read more here.
Keywords: remote sensing; super resolution; resolution; swin transformer ... See more keywords
STN-Track: Multiobject Tracking of Unmanned Aerial Vehicles by Swin Transformer Neck and New Data Association Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3213438
Abstract: The gradual development of remote sensing object tracking technology based on unmanned aerial vehicles (UAV) videos has become one of the main research directions in the field of visual tracking. However, due to characteristics of… read more here.
Keywords: track; swin transformer; aerial vehicles; unmanned aerial ... See more keywords
MSTDSNet-CD: Multiscale Swin Transformer and Deeply Supervised Network for Change Detection of the Fast-Growing Urban Regions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3165885
Abstract: Deep learning algorithms have recently provided new ideas for various change detection (CD) tasks, which have yielded promising results. However, accurately identifying urban land cover and land use (LCLU) changes remains challenging in the very… read more here.
Keywords: multiscale swin; change detection; deeply supervised; supervised network ... See more keywords
PAN-Guided Multiresolution Fusion Network Using Swin Transformer for Pansharpening
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DOI: 10.1109/lgrs.2022.3232189
Abstract: Deep learning (DL)-based methods have been widely used in pansharpening and have made great progress. To increase the accuracy, the DL-based model structures can be improved by introducing the multiresolution information and self-similarity of the… read more here.
Keywords: network; multiresolution; guided multiresolution; pan guided ... See more keywords
SwinNet: Swin Transformer Drives Edge-Aware RGB-D and RGB-T Salient Object Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3127149
Abstract: Convolutional neural networks (CNNs) are good at extracting contexture features within certain receptive fields, while transformers can model the global long-range dependency features. By absorbing the advantage of transformer and the merit of CNN, Swin… read more here.
Keywords: rgb rgb; salient object; rgb; modality ... See more keywords
Swin Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3144165
Abstract: Global context information is essential for the semantic segmentation of remote sensing (RS) images. However, most existing methods rely on a convolutional neural network (CNN), which is challenging to directly obtain the global context due… read more here.
Keywords: swin transformer; segmentation; remote sensing; semantic segmentation ... See more keywords