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Computer science Multimodal Data Fusion As a Predictior of Missing Information in Social Networks ARIZONA STATE UNIVERSITY Ross Maciejewski MaoJingxianOver 2 billion people are using online social network services, such as Facebook, Twitter, Google+, LinkedIn, and Pinterest. Users update their status,...
maxtext - A simple, performant and scalable Jax LLM! Alpa - Alpa is a system for training and serving large-scale neural networks. GPT-NeoX - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. Tools for deploying LLM FastChat - A distribute...
初读印象 comment:: 遥感领域图像融合综述,给出了新手教程、数据集和代码,讨论了未来发展方向 机构:中国科学院等 论文地址:Deep learning in multimodal remote sensing data fusion: A comprehensive review …
带噪声的多模态数据: 高维多模态数据往往包含复杂的噪声。多模态数据的异质性使其具有挑战性,同时还有机会通过探索不同模态之间的相关性来识别和减少潜在的噪声。 不完备的多模态数据: 例如,在医学领域,即使是相同疾病的患者也可能选择产生不完整多模态数据的不同医学检查。开发能够处理不完整多模态数据的灵活可靠的多...
[6] introduced a method for multimodal sentiment analysis, in which inter-modality is learned by combining unimodal, bimodal, and trimodal interactions, and intra-modality is learned through three subnetworks for language, visual, and acoustic modalities. However, the simple splicing technique does ...
In recent years, inspired by the multisensory (visual and auditory) perception of the world by humans, research on classification methods has gradually shifted from unimodal to multi-modal domains28. Multimodal data fusion aims to combine different distributed and different types of data in a single...
However, the lack of the single-modal emotional information and vulnerability to various external factors lead to lower accuracy of emotion recognition. Therefore, multimodal information fusion for data-driven emotion recognition has been attracting the attention of researchers in the affective computing ...
"Meta-Transformer: A Unified Framework for Multimodal Learning." ArXiv (2023). [paper] [homepage] [code] [中文解读] [2023.07] OpenSeeD: Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianfeng Gao, Jianwei Yang, Lei Zhang. "A Simple Framework for Open-Vocabulary Segmentation ...
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