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Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
European Conference on Computer Vision, 2020Large-scale pre-training methods of learning cross-modal representations on image-text pairs are becoming popular for vision-language tasks. While existing methods simply concatenate image region features and text features as input to the model to be pre-
Xiujun Li +11 more
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Modality-Specific Operations in Semantic Dementia
Cortex, 1997A patient suffering from semantic dementia is described who consistently demonstrated the preserved ability to support specific types of semantic judgements from visual, but not from verbal, input. In addition the representations accessed from visual input were found to trigger complex behavioural schemata, while with verbal materials the patients ...
LAURO GROTTO, ROSAPIA +2 more
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Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval
IEEE International Conference on Computer Vision, 2019Cross-modal hashing encodes the multimedia data into a common binary hash space in which the correlations among the samples from different modalities can be effectively measured.
Shupeng Su, Zhisheng Zhong, Chao Zhang
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Language and Cognitive Processes, 1996
LANGUAGE AND COGNITIVECOGNITIVE PROCESSES (SPECIAL ISSUE),
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LANGUAGE AND COGNITIVECOGNITIVE PROCESSES (SPECIAL ISSUE),
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Neighbourhood Semantics for Modal Relevant Logics
Journal of Philosophical Logic, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nicholas Ferenz, Andrew Tedder
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MV2DFusion: Leveraging Modality-Specific Object Semantics for Multi-Modal 3D Detection
IEEE Transactions on Pattern Analysis and Machine IntelligenceThe rise of autonomous vehicles has significantly increased the demand for robust 3D object detection systems. While cameras and LiDAR sensors each offer unique advantages—cameras provide rich texture information and LiDAR offers precise 3D spatial data ...
Zitian Wang +4 more
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Global and local semantics-preserving based deep hashing for cross-modal retrieval
Neurocomputing, 2018Cross-modal hashing methods map similar data entities from heterogeneous data sources to binary codes with smaller Hamming distance. However, most existing cross-modal hashing methods learn the hash codes with the hand-crafted features which will not ...
Lei Ma +4 more
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Work Together: Correlation-Identity Reconstruction Hashing for Unsupervised Cross-Modal Retrieval
IEEE Transactions on Knowledge and Data Engineering, 2023Unsupervised cross-modal hashing has attracted considerable attention to support large-scale cross-modal retrieval. Although promising progresses have been made so far, existing methods still suffer from limited capability on excavating and preserving ...
Lei Zhu +5 more
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Algebraic semantics for modal logics II
Journal of Symbolic Logic, 1966This paper is a sequel to [7], and the terminology of [7] is largely presupposed here. In [7], the algebraic methods of McKinsey-Tarski were employed and extended to yield semantic results of a Kripke kind for a class of relatively weak modal logics, the strongest of which was the Feysvon Wright system T.
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