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   Articles with "cross modal" as a keyword



Reorganization of thalamocortical connections in congenitally blind humans

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recommendations! Published in 2022 at "Human Brain Mapping"

DOI: 10.1002/hbm.26192

Abstract: Cross-modal plasticity in blind individuals has been reported over the past decades showing that non-visual information is carried and processed by ‘visual’ brain structures. However, the structural underpinnings of cross-modal plasticity in congenitally blind individuals… read more here.

Keywords: connectivity; thalamocortical connections; cross modal; blind individuals ... See more keywords

EEG mismatch responses in a multimodal roving stimulus paradigm provide evidence for probabilistic inference across audition, somatosensation, and vision

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recommendations! Published in 2022 at "Human Brain Mapping"

DOI: 10.1002/hbm.26303

Abstract: The human brain is constantly subjected to a multi-modal stream of probabilistic sensory inputs. EEG signatures, such as the mismatch negativity (MMN) and the P3, can give valuable insight into neuronal probabilistic inference. Although reported… read more here.

Keywords: roving stimulus; mismatch responses; cross modal; probabilistic inference ... See more keywords

Cross‐modal retrieval based on deep regularized hashing constraints

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22853

Abstract: Cross‐modal retrieval has attracted great attention due to the increasing demand for tremendous amounts of multimodal data in recent years. These retrievals could either be text‐to‐image or image‐to‐text. To address the problem of inappropriate information… read more here.

Keywords: deep regularized; cross modal; modal retrieval; regularized hashing ... See more keywords

Does the construction retrieval account apply to cross-modal inhibition of return in semantic context?

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recommendations! Published in 2022 at "PsyCh journal"

DOI: 10.1002/pchj.618

Abstract: The traditional attentional reorienting hypothesis is insufficient to explain spatial and nonspatial inhibition of return (IOR). Therefore, a construction retrieval account that includes the influence of top-down attentional sets has been proposed and can explain… read more here.

Keywords: construction retrieval; construction; cross modal; retrieval account ... See more keywords

Visual–tactile processing in primary somatosensory cortex emerges before cross‐modal experience

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recommendations! Published in 2017 at "Synapse"

DOI: 10.1002/syn.21958

Abstract: The presumptive unisensory neocortical areas process multisensory information by oscillatory entrainment of neuronal networks via direct cortico‐cortical projections. While neonatal unimodal experience has been identified as necessary for setting up the neuronal networks of multisensory… read more here.

Keywords: modal experience; cross modal; somatosensory; multisensory processing ... See more keywords

Cascaded cross-modal transformer for audio–textual classification

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recommendations! Published in 2024 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-024-10869-1

Abstract: Speech classification tasks often require powerful language understanding models to grasp useful features, which becomes problematic when limited training data is available. To attain superior classification performance, we propose to harness the inherent value of… read more here.

Keywords: classification; cross modal; language; cascaded cross ... See more keywords
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Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval

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recommendations! Published in 2022 at "Applied Intelligence"

DOI: 10.1007/s10489-021-02308-3

Abstract: Cross-modal retrieval aims to retrieve related items across different modalities, for example, using an image query to retrieve related text. The existing deep methods ignore both the intra-modal and inter-modal intra-class low-rank structures when fusing… read more here.

Keywords: regularization; low rank; cross modal; rank ... See more keywords

Intramodal consistency in triplet-based cross-modal learning for image retrieval

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recommendations! Published in 2025 at "Machine Learning"

DOI: 10.1007/s10994-024-06710-z

Abstract: Cross-modal retrieval requires building a common latent space that captures and correlates information from different data modalities, usually images and texts. Cross-modal training based on the triplet loss with hard negative mining is a state-of-the-art… read more here.

Keywords: cross modal; modal; image retrieval; intra modal ... See more keywords

Semantic consistent adversarial cross-modal retrieval exploiting semantic similarity

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recommendations! Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-7343-8

Abstract: Cross-modal retrieval aims to search the semantically similar instances from the other modalities given a query from one modality. However, the differences of the distributions and representations between different modalities make that the similarity of… read more here.

Keywords: different modalities; semantic similarity; similarity; cross modal ... See more keywords

Multi-task clustering ELM for VIS-NIR cross-modal feature learning

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recommendations! Published in 2017 at "Multidimensional Systems and Signal Processing"

DOI: 10.1007/s11045-016-0401-8

Abstract: Extreme learning machine (ELM) as a new emergent and efficient machine learning algorithm has shown its good performance in many real regression applications as well as large data classification. In this paper, we propose a… read more here.

Keywords: multi task; cross; feature learning; cross modal ... See more keywords

Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision

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recommendations! Published in 2022 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-021-01547-8

Abstract: Transformer architectures have brought about fundamental changes to computational linguistic field, which had been dominated by recurrent neural networks for many years. Its success also implies drastic changes in cross-modal tasks with language and vision,… read more here.

Keywords: tasks language; transformer architecture; language vision; cross modal ... See more keywords