This article is about 14,500 words, and it is recommended to read for more than 15 minutes. This article will share the research achievements of Ant Group's multimodal cognitive team in the field of video multimodal retrieval over the past year. [ Introduction ] This article will share the research achievements of Ant Group’s multimodal … Read more
Introduction Graph Learning is a machine learning method that studies and applies graph-structured data. In graph learning, data is represented as a graph consisting of nodes and edges, where nodes represent entities or objects, and edges represent the relationships or connections between them. Therefore, graph learning is particularly suitable for multi-scale analysis, modeling, and simulation … Read more
Education and Teaching Application Of Multimodal Artificial Intelligence In Nursing Education Peng Wenli, Cheng Xinhua, Zhang Xian (Chongqing University of Humanities, Science and Technology, School of Nursing) Abstract: With the continuous advancement of technology and the rapid development of artificial intelligence, the application of multimodal artificial intelligence in nursing education has become a trend. The … Read more
This article summarizes the main content from the TPAMI review literature, and the author adds the latest papers and analyses related to this field. Paper: Multimodal Machine Learning: A Survey and Taxonomy Humans interact with the world through various sensory organs, such as eyes, ears, and touch. Multimodal Machine Learning (MML) studies machine learning problems … Read more
In daily life, humans utilize various senses such as vision and hearing to understand the surrounding environment. By integrating multiple perceptual modalities, a holistic understanding of events is formed. To enable machines to better mimic human cognitive abilities, multimodal cognitive computing simulates human “synaesthesia”, exploring efficient perception and comprehensive understanding methods for multimodal inputs such … Read more
MLNLP community is a renowned machine learning and natural language processing community both domestically and internationally, covering NLP graduate students, university professors, and corporate researchers. The Vision of the Community is to promote communication and progress between the academic and industrial sectors of natural language processing and machine learning, especially for beginners. Reprinted from | … Read more
Click on the above“Beginner Learning Vision”, select to addStar or “Top” Heavy content delivered immediately From | Zhihu Author丨Xiao Xi learns every day Link丨https://zhuanlan.zhihu.com/p/152234745 Introduction Multimodal deep learning mainly includes three aspects: multimodal learning representation, multimodal signal fusion, and multimodal applications. This article focuses on related fusion methods in computer vision and natural language processing, … Read more
1. Introduction With the rapid evolution of generative artificial intelligence, multimodal large models are increasingly demonstrating their advantages in multimodal content understanding and generation. The multimodal large model (hereinafter referred to as “large model”) refers to artificial intelligence models capable of processing and understanding various modal data inputs such as text, images, audio, and video. … Read more
Click Follow us with the blue text above Researchers from Alibaba have proposed VideoLLaMA 3, a multimodal foundational model that combines Any-resolution Vision Tokenization (AVT) and Differential Frame Pruner (DiffFP) technologies to effectively handle image and video understanding, achieving significant results in image and video benchmarks, especially excelling in long video understanding and temporal reasoning. … Read more
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding Paper Link: https://arxiv.org/pdf/2501.13106 Abstract 01 In this paper, we propose VideoLLaMA3, a more advanced multimodal foundation model for image and video understanding. The core design philosophy of VideoLLaMA3 is vision-centric, which has two meanings: a vision-centric training paradigm and a vision-centric framework design. The … Read more