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MAP: Modality-Agnostic Uncertainty-Aware Vision-Language Pre-training Model., , , , , , , , and . CoRR, (2022)Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition., , , , and . CoRR, (2022)Time-to-Failure Analysis of Short-Duty Cycle, Inverter-Fed Electrical Machines Exposed to Prevailing Electrical Stress., , , , , , and . IEEE Trans. Aerosp. Electron. Syst., 59 (6): 9368-9378 (December 2023)Modeling Multimodal Uncertainties via Probability Distribution Encoders Included Vision-Language Models., , , , and . IEEE Access, (2024)Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning., , , , , , , , and . CoRR, (2022)Global and Local Semantic Completion Learning for Vision-Language Pre-training., , , , , , , , and . CoRR, (2023)A strategy for autonomous source searching using the Gaussian Mixture Model to fit the estimate of the source location., , , , and . CASE, page 1817-1822. IEEE, (2021)Determination of the number and distribution of charging stations for electric vehicles., , , and . EM-GIS, page 17:1-17:5. ACM, (2019)MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model., , , , , , , , and . CVPR, page 23262-23271. IEEE, (2023)MIRTT: Learning Multimodal Interaction Representations from Trilinear Transformers for Visual Question Answering., , , , and . EMNLP (Findings), page 2280-2292. Association for Computational Linguistics, (2021)