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SViT: A Novel Multimodal Learning Approach for Ship Distance Estimation via Time-Series Data Visualization
Sun Choi, Jeongmin Choi, Hyunbae Chang, Jhonghyun An The Transactions of the Korea Information Processing Society,
Vol. 14, No. 3, pp. 203-213,
Mar.
2025
https://doi.org/10.3745/TKIPS.2025.14.3.203
Keywords: Underwater Ship Estimation, multivariate time series forecasting, Multimodal, Vision Transformer (ViT)
https://doi.org/10.3745/TKIPS.2025.14.3.203
Keywords: Underwater Ship Estimation, multivariate time series forecasting, Multimodal, Vision Transformer (ViT)
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