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Suggested Topics within your search.
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841
Multi-label remote sensing classification with self-supervised gated multi-modal transformers
Published 2024-09-01“…In this paper, we pretrain the ViT model based on BigEarthNet dataset by combining two commonly used SSL algorithms, and propose an intra-modal and inter-modal gated fusion unit for feature learning by combining multispectral (MS) and synthetic aperture radar (SAR). Our method can effectively combine different modal data to extract key feature information.Results and discussionAfter fine-tuning and comparison experiments, we outperform the most advanced algorithms in all downstream classification tasks. …”
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842
FCSwinU: Fourier Convolutions and Swin Transformer UNet for Hyperspectral and Multispectral Image Fusion
Published 2024-10-01“…The fusion of low-resolution hyperspectral images (LR-HSI) with high-resolution multispectral images (HR-MSI) provides a cost-effective approach to obtaining high-resolution hyperspectral images (HR-HSI). Existing methods primarily based on convolutional neural networks (CNNs) struggle to capture global features and do not adequately address the significant scale and spectral resolution differences between LR-HSI and HR-MSI. …”
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843
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844
Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network
Published 2025-04-01“…To address the challenges in underwater object detection algorithms, including difficult image feature processing, redundant model architectures, and excessive parameter numbers, this paper proposed a real-time Transformer detection method for underwater objects based on a lightweight gated convolutional network. …”
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845
A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention
Published 2024-12-01“…The proposed method was verified on the LIDC-IDRI and LNDb datasets. …”
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846
AnoViT: Unsupervised Anomaly Detection and Localization With Vision Transformer-Based Encoder-Decoder
Published 2022-01-01“…Encoder-decoder structures have been widely used in the field of anomaly detection because they can easily learn normal patterns in an unsupervised learning environment and calculate a score to identify abnormalities through a reconstruction error indicating the difference between input and reconstructed images. Therefore, current image anomaly detection methods have commonly used convolutional encoder-decoders to extract normal information through the local features of images. …”
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847
Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model
Published 2025-01-01“…Therefore, this study develops a wide-area subsidence calculation model integrating convolutional neural network and transformer. Initially, a training sample set for mining subsidence interferometric synthetic aperture radar was constructed by leveraging the probability integral method, Generic Atmospheric Correction Online Service, coherence maps, and zero-mean Gaussian noise. …”
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848
A robust in planta Agrobacterium‐mediated transformation in red chili (Capsicum annuum L.)
Published 2024-12-01“…Therefore, this study aimed to develop an Agrobacterium‐mediated in planta transformation method applicable to various red chili cultivars. …”
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849
Impact of anthropogenic landscape transformation on soil fertility and diversity of carabid beetles and butterflies in Poland
Published 2025-09-01“…Anthropogenic landscape transformation, including urbanization and intensive agriculture, significantly affects the structure and functioning of ecosystems. …”
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850
A Spatial–Frequency Combined Transformer for Cloud Removal of Optical Remote Sensing Images
Published 2025-04-01“…FreSA leverages fast Fourier transform to convert features into the frequency domain, using frequency differences between object and cloud regions to achieve precise cloud detection and fine-grained removal. …”
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851
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852
Dual-stream interactive mechanism with multi-modal hierarchical aggregation transformer for gait recognition
Published 2025-07-01“…Comprehensive evaluations demonstrate that GaitSMAT achieves state-of-the-art (SOTA) performance on multiple public datasets (GREW, Gait3D, and SUSTech1K), exhibiting significant improvements over existing approaches. The method shows particular efficacy in complex environments, demonstrating superior robustness and accuracy. …”
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853
STARTeCH for asynchronous interactive grammar learning: Transforming ESL mastery in Malaysian schools
Published 2025-02-01“…The post-pandemic emphasis on educational experimentation underscores STARTeCH’s call for swift school reform and the transformative potential of extracurricular learning. …”
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854
TBRAFusion: Infrared and visible image fusion based on two-branch residual attention Transformer
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855
Utilizing Clinical Transformation Criteria for Prognostic Stratification in Follicular Lymphoma Prior to Initial Immunochemotherapy
Published 2024-10-01“…We retrospectively applied the clinical transformation criteria used for FL transformation assessments at relapse or disease progression to conduct transformation assessments before the initial immunochemotherapy. …”
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856
Accurate Rainfall Prediction Using GNSS PWV Based on Pre-Trained Transformer Model
Published 2025-06-01“…Unlike previous studies mainly focusing on rainfall occurrences, this study proposes a transformer-based model for hourly rainfall prediction, integrating the GNSS PWV and ERA5 meteorological data. …”
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857
«Eternal» themes and their transformation in perestroika-era fiction story Avariya by Y. M. Korotkov
Published 2025-01-01“…The purpose of this article is to investigate the realization of «eternal» themes in the fiction story Avariya by Y.M.Korotkov, identifying their specific in the text of perestroika-epoch. Materials and methods. In this work the method of analysis and synthesis of theoretical information was applied to understand the essential characteristics of the theme as a literary category for further researching «eternal» themes in the fiction story Avariya (their transformation on the example of text of perestroika-epoch), produced by textual analysis. …”
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858
Significance of indexes of cytokine status in evaluation of clinical course of hemorrhagic transformation of ischemic stroke
Published 2017-10-01“…To determine the features of cytokine status in ischemic stroke patients with hemorrhagic transformation and its importance in the evaluation of the clinical course and outcome of the disease.Materials and methods. …”
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859
The Effect of Tamponade on Postoperative Bleeding after Electrical Loop Excision of the Transformation Zone (LLETZ)
Published 2023-05-01“…Background: This two-armed clinical audit aimed to evaluate the effectiveness of vaginal tamponade in reducing postoperative bleeding after large loop excision of the uterine cervix’s transformation zone (LLETZ). Methods: We included patients after LLETZ with and without vaginal tamponade in this clinical audit analysis. …”
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860