与模态无关的标准化特征编码器(unified multimodal model) 3. 下游子任务头 4.1 模态数据标准化器 (Data-to-Sequence Tokenization) 定义xt xi xp 和xa 是来源于文本、图像、点云、音频的数据 (原以为作者会提出一种统一的框架来处理不同模态数据的标准化,现在看起来我想多了,对于不同的数据类型,采用的是该...
Although multimodal data always benefits from the complementarity of different modalities, it is difficult to solve the multimodal FL problem with traditional FL methods due to the modality discrepancy. Therefore, we propose a unified framework to solve it. In our framework, we use the co-attention...
Uni-paint: A Unified Framework for Multimodal Image Inpainting with Pretrained Diffusion Model[C]//Proceedings of the 31st ACM International Conference on Multimedia. 2023: 3190-3199. 效果展示 使用不同模态引导图像Inpainting生成任务的效果。左侧是单模态引导生成,从左至右的引导条件分别为:无条件、文本、...
We are the first to propose a Unified framework for Multimodal Summarization grounding on BART, UniMS, that integrates extractive andive objectives, as well as selecting the image output. Specially, we adopt knowledge distillation from a vision-language pretrained model to improve image selection, ...
machine-learning framework, HSM was reported to yield superior prediction performance on eight common PBD families with AUC scores ranging from 0.88 to 0.92. We compared CAMP with two reported models of HSM, i.e., HSM-ID (in which eight separate models were trained for each PBD/enzyme family...
In this paper, we propose UniCode, a novel approach within the domain of multimodal large language models (MLLMs) that learns a unified codebook to efficiently tokenize visual, text, and potentially other types of signals. This innovation addresses a critical limitation in existing MLLMs: their ...
MMSA is a unified framework for Multimodal Sentiment Analysis. Features Train, test and compare multiple MSA models in a unified framework. Supports 15 MSA models, including recent works. Supports 3 MSA datasets: MOSI, MOSEI, and CH-SIMS. Easy to use, provides Python APIs and commandline tools...
We introduce computational network (CN), a unified framework for describing arbitrary learning machines, such as deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short term memory ... Y Dong,A Eversole,ML Seltzer,... 被引量: 236发表...
Using our theoretical framework of multimodal processing, we developed and evaluated a computer-animated tutor, Baldi, to teach vocabulary and grammar for ... A Bosseler,DW Massaro - 《Journal of Autism & Developmental Disorders》 被引量: 455发表: 2003年 A Unified Framework for Multimodal Submodu...
In 2015, Zhang and Zhang [220] proposed a universal framework for improving the generalization capacity of traditional extreme learning machine. They applied both source domain adaptation method and target domain adaptation method to enhance the cross-domain ability of extreme learning machine and claime...