3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting

arXiv:2404.17273v1 Announce Type: new
Abstract: 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 retrieval. 3SHNet highlights the salient identification of prominent objects and their spatial locations within the visual modality, thus allowing the integration of visual semantics-spatial interactions and maintaining independence between two modalities. This integration effectively combines object regions with the corresponding semantic and position layouts derived from segmentation to enhance the visual representation. And the modality-independence guarantees …

arxiv boosting cs.cv highlighting image retrieval semantic spatial type via visual