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Composing object relations and attributes for image-text matching
We study the visual semantic embedding problem for image-text matching. Most existing
work utilizes a tailored cross-attention mechanism to perform local alignment across the two …
work utilizes a tailored cross-attention mechanism to perform local alignment across the two …
Multilateral semantic relations modeling for image text retrieval
Z Wang, Z Gao, K Guo, Y Yang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Image-text retrieval is a fundamental task to bridge vision and language by exploiting
various strategies to fine-grained alignment between regions and words. This is still tough …
various strategies to fine-grained alignment between regions and words. This is still tough …
3SHNet: Boosting image–sentence retrieval via visual semantic–spatial self-highlighting
In this paper, we propose a novel visual Semantic-Spatial Self-Highlighting Network (termed
3SHNet) for high-precision, high-efficiency and high-generalization image–sentence …
3SHNet) for high-precision, high-efficiency and high-generalization image–sentence …
Cross-modal semantic enhanced interaction for image-sentence retrieval
Image-sentence retrieval has attracted extensive research attention in multimedia and
computer vision due to its promising application. The key issue lies in jointly learning the …
computer vision due to its promising application. The key issue lies in jointly learning the …
MKVSE: Multimodal knowledge enhanced visual-semantic embedding for image-text retrieval
Image-text retrieval aims to take the text (image) query to retrieve the semantically relevant
images (texts), which is fundamental and critical in the search system, online shop**, and …
images (texts), which is fundamental and critical in the search system, online shop**, and …
Geometric matching for cross-modal retrieval
Despite its significant progress, cross-modal retrieval still suffers from one-to-many matching
cases, where the multiplicity of semantic instances in another modality could be acquired by …
cases, where the multiplicity of semantic instances in another modality could be acquired by …
ESA: External space attention aggregation for image-text retrieval
Due to the large gap between vision and language modalities, effective and efficient image-
text retrieval is still an unsolved problem. Recent progress devotes to unilaterally pursuing …
text retrieval is still an unsolved problem. Recent progress devotes to unilaterally pursuing …
Point to rectangle matching for image text retrieval
The difficulty of image-text retrieval is further exacerbated by the phenomenon of one-to-
many correspondence, where multiple semantic manifestations of the other modality could …
many correspondence, where multiple semantic manifestations of the other modality could …
Reservoir computing transformer for image-text retrieval
Although the attention mechanism in transformers has proven successful in image-text
retrieval tasks, most transformer models suffer from a large number of parameters. Inspired …
retrieval tasks, most transformer models suffer from a large number of parameters. Inspired …
CFIR: Fast and Effective Long-Text To Image Retrieval for Large Corpora
Text-to-image retrieval aims to find the relevant images based on a text query, which is
important in various use-cases, such as digital libraries, e-commerce, and multimedia …
important in various use-cases, such as digital libraries, e-commerce, and multimedia …