Cross-Modal Alignment Enhancement for Vision–Language Tracking via Textual Heatmap Mapping
Single-object vision–language tracking has become an important research topic due to its potential in applications such as intelligent surveillance and autonomous driving. However, existing cross-modal alignment methods typically rely on contrastive learning and struggle to effectively address semantic ambiguity or the presence of multiple similar ...
Wei Xu, Gu Geng, Xinming Zhang, Di Yuan
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Cross-Modal Mapping: Mitigating the Modality Gap for Few-Shot Image Classification
Few-shot image classification remains a critical challenge in the field of computer vision, particularly in data-scarce environments. Existing methods typically rely on pre-trained visual-language models, such as CLIP. However, due to the modality gap, which is the inconsistent distribution of image and text features in the joint embedding space ...
Yang, Xi +4 more
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Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap. [PDF]
Deng C +5 more
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Coupling Causal Inference and Cross-Modal Recalibration: A Unified Framework for Adaptive Multisensory Perception. [PDF]
Liu J, Huang CC, Zeng F.
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Cross-Modal Transfer as a Window Into the Investigation of Recent Stimulus and Response History in Perceptual Decision-Making. [PDF]
Fitze DC, Schlunegger D, Mast FW.
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Knowledge graph enhanced cross modal generative adversarial network for martial arts motion reconstruction and heritage preservation. [PDF]
Yue X, Zhang L.
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Sound frequency predicts the bodily location of auditory-induced tactile sensations in synesthetic and ordinary perception. [PDF]
Koenig L, Ro T.
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Statistical learning of cross-modal correspondence with non-linear mappings
Kazuhiko Yokosawa +2 more
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Auditory-conceptual associations in Peter and the Wolf and Carnival of the Animals: Evidence from 6- to 9-year-old children. [PDF]
Di Stefano N +7 more
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