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English(EN) DRAgent: Discriminative Reasoning Agent for Referring Expression Segmentation

新的DRAgent框架使用MLLM进行精确物体分割

研究人员开发了DRAgent,一个利用多模态大语言模型(MLLM)的指代表达分割(RES)新框架。与直接预测坐标的先前方法不同,DRAgent采用判别式推理方法。它首先识别一组潜在的物体候选,然后使用MLLM从这些候选中准确选择目标物体。然后,这个选定的物体用于指导分割模型生成精确的像素级掩码。该框架还包括一个用于微调MLLM推理能力的数据管道,在标准的RES数据集上取得了有竞争力的结果。 AI

影响 这种判别式推理方法可以提高视觉-语言任务中物体定位的准确性。

排序理由 该集群描述了一篇详细介绍计算机视觉任务新框架的学术论文。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 3 个来源。 我们如何撰写摘要 →

新的DRAgent框架使用MLLM进行精确物体分割

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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Yuhan Liu, Yixiong Zou, Yuhua Li, Ruixuan Li ·

    位置是全部:MLLM 基础的指代表达分割的免费午餐式 Token 压缩策略

    arXiv:2608.26142v1 Announce Type: cross Abstract: Referring Expression Segmentation (RES) aims to generate pixel-wise segmentation masks from complex and implicit textual queries. While recent advances in Multimodal Large Language Models (MLLMs) have substantially boosted RES per…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    DRAgent:用于指代表达式分割的判别式推理代理

    Referring Expression Segmentation (RES) aims to generate a pixel-level mask for the object specified by a language expression. Recent methods based on multimodal large language models (MLLMs) often rely on one-pass coordinate prediction for visual localization, which serializes c…

  3. arXiv cs.CV TIER_1 English(EN) · Yujie Qi, Luyan Zhang ·

    DRAgent:用于指代表达式分割的判别式推理代理

    arXiv:2608.22885v1 Announce Type: new Abstract: Referring Expression Segmentation (RES) aims to generate a pixel-level mask for the object specified by a language expression. Recent methods based on multimodal large language models (MLLMs) often rely on one-pass coordinate predic…