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English(EN) ImagineAgent: What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation

ImagineAgent框架通过生成式世界模型增强人与物体交互理解

研究人员推出ImagineAgent,一个旨在增强多模态大语言模型中开放词汇人与物体交互(HOI)理解的新框架。该智能体通过整合认知映射、工具增强强化学习和生成式世界建模,解决了跨模态幻觉和视角受限等局限性。创建了一个新的CoT数据集hicodet-6K用于监督微调,并开发了一个多模态工具库,通过在线检索、图像裁剪和生成建模能力动态增强推理。在SWIG-HOI和HICO-DET数据集上的评估表明,ImagineAgent在使用的训练数据量远少于现有方法的情况下,取得了最先进的性能。 AI

影响 该框架可能带来更强大、更高效的多模态AI智能体,能够进行复杂的视觉推理和交互理解。

排序理由 该集群描述了一篇详细介绍新框架和数据集以改进AI模型能力的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

ImagineAgent框架通过生成式世界模型增强人与物体交互理解

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该集群描述了一篇详细介绍新框架和数据集以改进AI模型能力的新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zhenlong Yuan, Yue Wang, Dapeng Zhang, Kejin Cui, Rui Chen, Jing Tang, Lei Sun, Hongwei Yu, Chengxuan Qian, Xiangxiang Chu, Shuo Li, Yuyin Zhou ·

    ImagineAgent:如果智能体能够想象?通过生成增强开放词汇量 HOI 理解能力

    arXiv:2602.11499v3 Announce Type: replace Abstract: Multimodal Large Language Models have shown promising capabilities in bridging visual and textual reasoning, yet their reasoning capabilities in Open-Vocabulary Human-Object Interaction (OV-HOI) are limited by cross-modal halluc…