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Revealing the Potential of Deep Learning for Detecting Submarine Pipelines in Side-Scan Sonar Images: An Investigation of Pre-Training Datasets., , , , и . Remote. Sens., 15 (19): 4873 (октября 2023)A Comparative Study of Different CNN Models and Transfer Learning Effect for Underwater Object Classification in Side-Scan Sonar Images., , , , и . Remote. Sens., 15 (3): 593 (февраля 2023)MeshCLIP: Efficient cross-modal information processing for 3D mesh data in zero/few-shot learning., , , , , и . Inf. Process. Manag., 60 (6): 103497 (ноября 2023)DSACNN: Dynamically local self-attention CNN for 3D point cloud analysis., , , , и . Adv. Eng. Informatics, (2022)A Kernel Correlation-Based Approach to Adaptively Acquire Local Features for Learning 3D Point Clouds., , , , и . Comput. Aided Des., (2022)WalkFormer: 3D mesh analysis via transformer on random walk., , , , , и . Neural Comput. Appl., 36 (7): 3499-3511 (2024)MEAN: An attention-based approach for 3D mesh shape classification., , , , и . Vis. Comput., 40 (4): 2987-3000 (апреля 2024)A parametric and feature-based CAD dataset to support human-computer interaction for advanced 3D shape learning., , , , , и . Integr. Comput. Aided Eng., 32 (1): 73-94 (2025)A non-invasive learning branch to capture leaf-image attention for tree species classification., , и . Multim. Tools Appl., 81 (10): 13961-13978 (2022)