Results 41 to 50 of about 149,578 (172)
Metaphor: The intertwinement of thought and language
Koers : Bulletin for Christian Scholarship, 2011 The analysis of this article aims at reflecting on the nature of metaphoricity within the context of thought and language – inspired by the contributions of Elaine Botha in this regard commencing about three decades ago.
D.F.M. Strauss
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Key-Value Mapping-Based Text-to-Image Diffusion Model Backdoor Attacks
AlgorithmsText-to-image (T2I) generation, a core component of generative artificial intelligence(AI), is increasingly important for creative industries and human–computer interaction.
Lujia Chai +3 more
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AVCLNet: Multimodal Multispeaker Tracking Network Using Audio‐Visual Contrastive Learning
CAAI Transactions on Intelligence TechnologyAudio‐visual speaker tracking aims to determine the locations of multiple speakers in the scene by leveraging signals captured from multisensor platforms. Multimodal fusion methods can improve both the accuracy and robustness of speaker tracking. However,
Yihan Li +5 more
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Applications Research Progress and Prospects of Multi-Agent Large Language Models in Agricultural [PDF]
智慧农业[Significance] With the rapid advancement of large language models (LLM) and multi-agent systems, their integration, multi-agent large language models, is emerging as a transformative force in modern agriculture. Agricultural production involves complex,
ZHAO Yingping, LIANG Jinming, CHEN Beizhang, DENG Xiaoling, ZHANG Yi, XIONG Zheng, PAN Ming, MENG Xiangbao
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Trust, but Verify: Cross-Modality Fusion for HD Map Change Detection
, 2022 High-definition (HD) map change detection is the task of determining when sensor data and map data are no longer in agreement with one another due to real-world changes. We collect the first dataset for the task, which we entitle the Trust, but Verify (TbV) dataset, by mining thousands of hours of data from over 9 months of autonomous vehicle fleet ...
Lambert, John, Hays, James
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Deep Latent Space Learning for Cross-Modal Mapping of Audio and Visual Signals [PDF]
2019 Digital Image Computing: Techniques and Applications (DICTA), 2019 We propose a novel deep training algorithm for joint representation of audio and visual information which consists of a single stream network (SSNet) coupled with a novel loss function to learn a shared deep latent space representation of multimodal information.
Nawaz, Shah +4 more
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Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation
, 2023 Cross-modal MRI segmentation is of great value for computer-aided medical diagnosis, enabling flexible data acquisition and model generalization. However, most existing methods have difficulty in handling local variations in domain shift and typically require a significant amount of data for training, which hinders their usage in practice.
Li, Bingnan, Gao, Zhitong, He, Xuming
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Generative models for SAR–optical image translation: A systematic review
International Journal of Applied Earth Observations and GeoinformationGrowing demands in sustainable development and resource management are driving increasing reliance on remote sensing-based Earth observation and image interpretation.
Zhao Wang +4 more
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Cross-Modal Correspondences Enhance Performance on a Colour-to-Sound Sensory Substitution Device.
Multisensory Research, 2016 Visual sensory substitution devices (SSDs) can represent visual characteristics through distinct patterns of sound, allowing a visually impaired user access to visual information.
Giles Hamilton-Fletcher +2 more
semanticscholar +1 more source
, 2022 The connectional brain template (CBT) captures the shared traits across all individuals of a given population of brain connectomes, thereby acting as a fingerprint. Estimating a CBT from a population where brain graphs are derived from diverse neuroimaging modalities (e.g., functional and structural) and at different resolutions (i.e., number of nodes)
Ece Cinar +3 more
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