Results 41 to 50 of about 15,271 (229)
STUCNET – SWIN TRANSFORMER-V2 UNET FOR CRACK SEGMENTATION NETWORK [PDF]
, 2023 Automatic crack detection on road surfaces is an important task for supporting the quality control of road infrastructure in transportation. Various methods have been proposed for crack segmentation, but their accuracy is still limited.
Nguyen, Le Hoang Tung, Phan, Hai-Hong
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Classification and Model Explanation of Traditional Dwellings Based on Improved Swin Transformer
BuildingsThe extraction of features and classification of traditional dwellings plays significant roles in preserving and ensuring the sustainable development of these structures.
Shangbo Miao +3 more
doaj +1 more source
A Swin Transformer-Based Encoding Booster Integrated in U-Shaped Network for Building Extraction
Remote Sensing, 2022 Building extraction is a popular topic in remote sensing image processing. Efficient building extraction algorithms can identify and segment building areas to provide informative data for downstream tasks.
Xiao Xiao +5 more
doaj +1 more source
Inspecting Explainability of Transformer Models with Additional Statistical Information
, 2023 Transformer becomes more popular in the vision domain in recent years so there is a need for finding an effective way to interpret the Transformer model by visualizing it. In recent work, Chefer et al.
Kim, Junmo, Lee, Haeil, Nguyen, Hoang C.
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Dynamic fracture-initation toughness determination of AI 7075-T651 aluminum alloy [PDF]
, 2007 We present values of the static and dynamic fracture-initiation toughness at different loading rates of the aluminum alloy Al 7075-T651 obtained on three-point bend specimens with different thicknesses and initial crack lengths. In static conditions, the
Fernández Sáez, José +1 more
core +2 more sources
Frontiers in OncologyCervical cancer is a prevalent and concerning disease affecting women, with increasing incidence and mortality rates. Early detection plays a crucial role in improving outcomes.
Manal Abdullah Alohali +7 more
doaj +1 more source
, 2023 Accurately predicting the destination of taxi trajectories can have various benefits for intelligent location-based services. One potential method to accomplish this prediction is by converting the taxi trajectory into a two-dimensional grid and using ...
Lei, Zhiyu +4 more
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MV-Swin-T: Mammogram Classification with Multi-View Swin Transformer
2024 IEEE International Symposium on Biomedical Imaging (ISBI)Traditional deep learning approaches for breast cancer classification has predominantly concentrated on single-view analysis. In clinical practice, however, radiologists concurrently examine all views within a mammography exam, leveraging the inherent correlations in these views to effectively detect tumors. Acknowledging the significance of multi-view
Sarker, Sushmita +3 more
openaire +3 more sources
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations
, 2023 In oncology research, accurate 3D segmentation of lesions from CT scans is essential for the modeling of lesion growth kinetics. However, following the RECIST criteria, radiologists routinely only delineate each lesion on the axial slice showing the ...
Baumgartner, Richard +8 more
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