Understanding Heterogeneous EO Datasets: A Framework for Semantic Representations
IEEE Access, 2018 Earth observation (EO) has become a valuable source of comprehensive, reliable, and persistent information for a wide number of applications. However, dealing with the complexity of land cover is sometimes difficult, as the variety of EO sensors reflects
Corina Vaduva +2 more
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Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation
Advances in Neural Information Processing Systems 36, 2023 NeurIPS 2023.
Yun Xing 0001 +5 more
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Semantic modelling of user interests based on cross-folksonomy analysis [PDF]
, 2008 The continued increase in Web usage, in particular participation in folksonomies, reveals a trend towards a more dynamic and interactive Web where individuals can organise and share resources.
Cantador, Ivan +11 more
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An Efficient and Effective Model Based on Mean Positive Examples for Social Image Annotation
IEEE Access, 2020 Nowadays, with the rapid growth of imaging and social network, huge volumes of image data are produced and shared on social media. Social image annotation has been an important and challenging task in the fields of computer vision and machine learning ...
Haiyu Song +6 more
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Exploring the semantic gap in compiling embedded DSLs [PDF]
Proceedings of the 18th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, 2018 Optimizing compilers provide valuable contributions to the quality of processed code. The vast majority of application developers rely on those capabilities to obtain binary code efficiently utilizing processing resources. However, compiler proficiency is frequently misjudged by application developers. While for some constellations the effectiveness of
Zangerl, Peter +4 more
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Study on Cross-media Information Retrieval Based on Common Subspace Classification Learning [PDF]
Jisuanji kexue, 2022 The semantic similarity between two different media data can not be calculated directly because of the serious heterogeneous gap and semantic gap between them,which affects the implementation and effect of cross media retrieval.Although the common space ...
HAN Hong-qi, RAN Ya-xin, ZHANG Yun-liang, GUI Jie, GAO Xiong, YI Meng-lin
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DA-GAN: Dual Attention Generative Adversarial Network for Cross-Modal Retrieval
Future Internet, 2022 Cross-modal retrieval aims to search samples of one modality via queries of other modalities, which is a hot issue in the community of multimedia. However, two main challenges, i.e., heterogeneity gap and semantic interaction across different modalities,
Liewu Cai +3 more
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Speakers Fill Lexical Semantic Gaps with Context [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Tiago Pimentel +3 more
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An integrative semantic framework for image annotation and retrieval [PDF]
, 2007 Most public image retrieval engines utilise free-text search mechanisms, which often return inaccurate matches as they in principle rely on statistical analysis of query keyword recurrence in the image annotation or surrounding text.
VELARDI, Paola +22 more
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Multi-Modal Fake News Detection via Bridging the Gap between Modals
Entropy, 2023 Multi-modal fake news detection aims to identify fake information through text and corresponding images. The current methods purely combine images and text scenarios by a vanilla attention module but there exists a semantic gap between different ...
Peng Liu +4 more
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