统一的粒度控制器用于交互式细分的交互式细分
IEEE transactions on pattern analysis and machine intelligence
|December 11, 2025
概括
本研究引入了一种新的可控制细粒度的交互式分割 (IS) 范式,UniGraCo,以精确控制细分化的细节. UniGraCo克服了模糊性和冗余性,为用户提供了一个更有效,更实用的交互工具.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 图像分析 图像分析
背景情况:
- 交互式细分 (IS) 从对象细分的稀疏提示中推断出人类的意图.
- 稀疏到密集映射中的模糊性导致用户的试错和次优细分细分度.
- 现有的多细分化IS方法缺乏可扩展性,并产生冗余的输出.
研究的目的:
- 开发一个可控制细粒度的IS范式,解决模两可,并允许用户精确控制细分化的细节.
- 引入一个统一的粒度控制器 (UniGraCo),支持各种控制信号,以满足各种细分需求.
- 在交互式细分任务中提高系统效率和实用性.
主要方法:
- 提出了一种统一的颗粒度控制器 (UniGraCo),具有多种类型的可选控制信号,用于灵活调节颗粒度.
- 开发了一种自动化数据引擎,用于低成本生成高质量,多颗粒度的面具控制信号数据对.
- 设计了一个可控制细粒度的学习策略,以高效稳定地训练IS模型,保持细分能力.
主要成果:
- 在复杂的实例和部分级别细分场景中,UniGraCo在现有方法上表现出显著的优势.
- 自动化数据引擎有效降低了注释成本,同时产生了丰富的培训数据.
- 可控制细分度的学习策略成功地赋予了预先训练的IS模型对细分细分度的精确控制.
结论:
- UniGraCo提供了一种创意和有效的解决方案,用于在交互式细分中精确控制颗粒度.
- 拟议的范式在效率和实用性方面显著改进了现有的多颗粒度IS方法.
- UniGraCo显示出强大的潜力,作为复杂的细分任务的实用交互工具.
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