In general, the main pipeline of this method is to first extract global features of the image and text by an image encoder and a sentence encoder, respectively, ...
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What is semantic based image retrieval?
What is image-text retrieval?
Apr 28, 2023 · It requires building a common representation space for images and texts. The key challenge lies in learning the alignment of image and text to ...
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Aug 29, 2024 · As image–text matching (a critical task in the field of computer vision) links cross-modal data, it has captured extensive attention.
Image-text matching refers to measuring the visual-semantic similarity between image and text, which is becoming in- creasingly significant for various vision- ...
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We introduce an interpretable method named Multilat- eral Semantic Relations Modeling to better resolve the one-to-many correspondence for image-text retrieval.
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Aug 29, 2024 · A method for image–text matching based on semantic filtering and ... Semantic Completion and Filtration for Image-Text Retrieval. Yang S ...
In this work, a new semantic filtering and adaptive approach (FAAR) was proposed to ease the above problem. To be specific, the filtered attention (FA) module ...
Apr 28, 2024 · Abstract—Image-text matching remains a challenging task due to heterogeneous semantic diversity across modalities and.
May 20, 2024 · Image-text retrieval is a fundamental task to bridge the semantic gap between natural language and vision. Recent works primarily focus on ...
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Aug 31, 2024 · In this work, a new semantic filtering and adaptive approach (FAAR) was proposed to ease the above problem. To be specific, the filtered ...