Articles with "cross modality" as a keyword



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Cross-modality deep learning-based prediction of TAP binding and naturally processed peptide

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Published in 2018 at "Immunogenetics"

DOI: 10.1007/s00251-018-1054-6

Abstract: Epitopes presented on MHC class I molecules pass multiple processing stages before their presentation on MHC molecules, the main ones being proteasomal cleavage and TAP binding. Transporter associated with antigen processing (TAP) binding is a… read more here.

Keywords: cross modality; tap; tap binding; deep learning ... See more keywords
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Dual adaptive alignment and partitioning network for visible and infrared cross-modality person re-identification

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Published in 2022 at "Applied Intelligence"

DOI: 10.1007/s10489-021-02390-7

Abstract: Visible and infrared person re-identification (VI-ReID) describes the task of matching the images of a person, captured by visible-light and infrared cameras; this is a particular challenge in night time surveillance applications. Existing cross-modality recognition… read more here.

Keywords: modality; cross modality; alignment partitioning; person identification ... See more keywords
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The effects of cross-modality and level of self-regulated learning on knowledge acquisition with smartpads

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Published in 2018 at "Educational Technology Research and Development"

DOI: 10.1007/s11423-017-9543-0

Abstract: Recently, there has been a transition from traditional paper or computer-based learning environments to smartpad-based learning environments, which are based on touch and involve various cognitive strategies such as touch operation and note taking. Accordingly,… read more here.

Keywords: smartpad based; environment; cross modality; knowledge acquisition ... See more keywords
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Disentangled representation and cross-modality image translation based unsupervised domain adaptation method for abdominal organ segmentation

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Published in 2022 at "International Journal of Computer Assisted Radiology and Surgery"

DOI: 10.1007/s11548-022-02590-7

Abstract: Existing medical image segmentation models tend to achieve satisfactory performance when the training and test data are drawn from the same distribution, while they often produce significant performance degradation when used for the evaluation of… read more here.

Keywords: image; segmentation; domain; cross modality ... See more keywords
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End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss

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Published in 2018 at "International Journal of Multimedia Information Retrieval"

DOI: 10.1007/s13735-018-0151-5

Abstract: Cross-modality retrieval encompasses retrieval tasks where the fetched items are of a different type than the search query, e.g., retrieving pictures relevant to a given text query. The state-of-the-art approach to cross-modality retrieval relies on… read more here.

Keywords: cross modality; retrieval; modality retrieval; cca ... See more keywords
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GPU acceleration of liver enhancement for tumor segmentation

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Published in 2020 at "Computer methods and programs in biomedicine"

DOI: 10.1016/j.cmpb.2019.105285

Abstract: BACKGROUND AND OBJECTIVE Medical image segmentation plays a vital role in medical image analysis. There are many algorithms developed for medical image segmentation which are based on edge or region characteristics. These are dependent on… read more here.

Keywords: image; cross modality; contrast enhancement; segmentation ... See more keywords
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Cross-modality modulation of auditory midbrain processing of intensity information

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Published in 2020 at "Hearing Research"

DOI: 10.1016/j.heares.2020.108042

Abstract: In nature, animals constantly receive a multitude of sensory stimuli, such as visual, auditory, and somatosensory. The integration across sensory modalities is advantageous for the precise processing of sensory inputs which is essential for animals… read more here.

Keywords: modulation; cross modality; auditory; intensity ... See more keywords
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Visible-infrared cross-modality person re-identification based on whole-individual training

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.01.073

Abstract: Abstract Visible-infrared cross-modality person re-identification (VI-ReID) aims to search person images across cameras of different modalities, which can make up for the problem that ReID cannot be performed through visible images in a dark environment.… read more here.

Keywords: cross modality; person; visible infrared; modality ... See more keywords
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RGBT tracking via cross-modality message passing

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Published in 2021 at "Neurocomputing"

DOI: 10.1016/j.neucom.2021.08.012

Abstract: Abstract Many RGBT trackers utilize adaptive weighting mechanism to treat dual modalities differently and obtain more robust feature representations for tracking. Although these trackers work well under certain conditions, however, they ignore the information interactions… read more here.

Keywords: modality message; message passing; cross modality; modality ... See more keywords
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Attention-Based Cross-Modality Feature Complementation for Multispectral Pedestrian Detection

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3175303

Abstract: Multispectral pedestrian detection based on deep learning can provide a robust and accurate detection under different illumination conditions, which has important research significance in safety. In order to reduce the log-average miss rate of the… read more here.

Keywords: modality feature; pedestrian detection; cross modality; multispectral pedestrian ... See more keywords
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Global and Part Feature Fusion for Cross-Modality Person Re-Identification

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3222267

Abstract: Visible-Infrared person re-identification (VI Re-ID) is a challenging but practical task that aims at matching pedestrian images between the visible(daytime) modality and the infrared(nighttime) modality, playing an important role in criminal investigation and intelligent video… read more here.

Keywords: global part; fusion; cross modality; modality ... See more keywords