Dec 11, 2023 · We propose a Cross-Modal Semantically Augmented Network for Image-text Matching. First, we extract significant regional image features, ...
Dec 11, 2023 · Therefore, we propose a Cross-Modal Semantically Augmented Network for Image-Text Matching (CMSAN), which combines the relationships between ...
Image-Text matching plays an important role in solving the problem of cross-modal information processing. Since there are nonnegligible semantic differences ...
A Cross-Modal Semantically Augmented Network for Image-Text Matching (CMSAN), which combines the relationships between entities in the image with the ...
[2023 CVPR] Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network (CHAN) ... Cross-Modal Attention With Semantic Consistence for Image–Text ...
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May 19, 2024 · Image-text matching has been a long-standing problem, which seeks to connect vision and language through semantic understanding. Due.
Jun 24, 2024 · Specifically, we first employ intra-view prototype contrastive matching for both image and text modalities to establish the relationship between ...
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The Paper List of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary ...
Mar 8, 2024 · Image-Text Retrieval (ITR) retrieves relevant samples from one modality based on a query in another modality. It involves two sub-tasks, ...
8 days ago · In this work, we propose a novel model named Adversarial Attentive Multi-modal Embedding Learning ... [Show full abstract] (AAMEL) for image- ...