Multimodal Learning

Research on the Construction and Application of Teaching Intelligent Agents Based on Large Models

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Research on the Construction and Application of Teaching Intelligent Agents Based on Large Models

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

VideoLLaMA3: Long Video Understanding with AVT and DiffFP

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VideoLLaMA3: Long Video Understanding with AVT and DiffFP

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

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VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

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