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Cross-Modal Fashion Search [PDF]
, 2016 In this demo we focus on cross-modal (visual and textual) e-commerce search within the fashion domain. Particularly, we demonstrate two tasks: (1) given a query image (without any accompanying text), we retrieve textual descriptions that correspond to the visual attributes in the visual query; and (2) given a textual query that may express an interest ...
Zoghbi, Susana +3 more
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Cross-Modality Person Re-Identification via Local Paired Graph Attention Network
Sensors, 2023 Cross-modality person re-identification (ReID) aims at searching a pedestrian image of RGB modality from infrared (IR) pedestrian images and vice versa.
Jianglin Zhou +4 more
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Global and Part Feature Fusion for Cross-Modality Person Re-Identification
IEEE Access, 2022 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 ...
Xianju Wang, Ronald S. Cordova
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Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification
IEEE Access, 2020 We conducted two analyses by comparing the transferability of a traditionally transfer-learned CNN (TL) to that of a CNN fine-tuned with an unrelated set of medical images (mammograms in this study) first and then fine-tuned a second time using TL, which
Juhun Lee, Robert M. Nishikawa
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Feature Fusion and Center Aggregation for Visible-Infrared Person Re-Identification
IEEE Access, 2022 The visible-infrared pedestrian re- identification (VI Re-ID) task aims to match cross-modality pedestrian images with the same labels. Most current methods focus on mitigating the modality discrepancy by adopting a two-stream network and identity ...
Xianju Wang +3 more
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Musical Sight-Reading Expertise: Cross Modality Investigations
i-Perception, 2011 It is often said that expert musicians are capable of hearing what they read and vice versa. This suggests that they are able to process and to integrate multimodal information. The study investigates this issue with an eye-tracking technique. Two groups
Drai-Zerbib Veronique, Baccino Thierry
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Flexible Cross-Modal Hashing [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2022 Hashing has been widely adopted for large-scale data retrieval in many domains due to its low storage cost and high retrieval speed. Existing cross-modal hashing methods optimistically assume that the correspondence between training samples across modalities is readily available. This assumption is unrealistic in practical applications.
Guoxian Yu +4 more
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Cross-Modal Musical Expectancy in Complex Sound Music: A Grounded Theory
Journal of Cognition, 2023 Expectancy is a core mechanism for constructing affective and cognitive experiences of music. However, research on musical expectations has been largely founded upon the perception of tonal music.
Juan Pablo Correa
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Extensible Cross-Modal Hashing [PDF]
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019 Cross-modal hashing (CMH) models are introduced to significantly reduce the cost of large-scale cross-modal data retrieval systems. In many real-world applications, however, data of new categories arrive continuously, which requires the model has good extensibility.
Tian-Yi Chen +4 more
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The foundations of cross-modal plasticity [PDF]
Communicative & Integrative Biology, 2016 Cross-modal plasticity is a striking adaptive feature of the brain, whereby the loss of one sensory modality induces cortical reorganization that leads to enhanced sensory performance in remaining modalities. Much is known about the macroscopic modifications in the brain that underly cross-modal plasticity and the associated changes in sensory ...
Ithai Rabinowitch, Jihong Bai
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