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Advanced Multimodal Deep Learning Architecture for Image-Text Matching
Experiments show that compared with existing image-text matching models, the optimized new model has significantly improved performance on a series of benchmark data sets.
Towards SAR Automatic Target Recognition MultiCategory SAR Image Classification Based on Light Weight Vision Transformer
Synthetic Aperture Radar has been extensively used in numerous fields and can gather a wealth of information about the area of interest.
Research on Image Recognition Technology Based on Multimodal Deep Learning
This project investigates the human multi-modal behavior identification algorithm utilizing deep neural networks.
Text Sentiment Analysis and Classification Based on Bidirectional Gated Recurrent Units (GRUs) Model
This paper explores the importance of text sentiment analysis and classification in the field of natural language processing, and proposes a new approach to sentiment analysis and classification based on the bidirectional gated recurrent units (GRUs) model.
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