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Sep, 2024
分割物体可供性：可重复性与对尺度的敏感性
Segmenting Object Affordances: Reproducibility and Sensitivity to Scale
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Tommaso Apicella, Alessio Xompero, Paolo Gastaldo, Andrea Cavallaro
TL;DR
本研究探讨了视觉可供性分割领域中现有方法的可重复性问题，旨在解决由于实验设置不一致导致的比较不公。我们提出在两个单一物体场景下进行基准测试，并引入重新训练的Mask2Former架构，结果显示该模型在大多数测试集上表现最佳，且对尺度变化的敏感性较高。
Abstract
Visual
affordance segmentation
identifies image regions of an object an agent can interact with. Existing methods re-use and adapt learning-based architectures for semantic segmentation to the
affordance segmentation
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