English(EN) Classical versus Deep Mirror-Symmetry Scoring: A Benchmark of Thirteen Methods

新基准测试比较了13种图像对称性评分方法

作者 PulseAugur 编辑部 · [2 个来源] · 2026-07-09 11:56

一篇新的基准测试论文介绍了十三种量化图像镜像对称性的方法，比较了经典方法和深度学习方法。研究发现，深度学习模型在单轴和复杂多轴对称性评分方面通常表现更好。然而，一种经典的定向梯度直方图（HOG）描述符表现出了竞争力，其运行速度明显快于深度方法，并且与一些冻结的深度特征提供了可比的结果。 AI

影响这项研究为对称性评分方法提供了一个基准，表明虽然深度学习表现出色，但像HOG这样的经典方法仍然具有竞争力且高效。

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arXiv cs.CV TIER_1 English(EN) · Maximilian Woehrer · 2026-07-10 04:00

经典与深度镜像对称评分：十三种方法的基准测试

arXiv:2607.08379v1 Announce Type: new Abstract: Quantifying how mirror-symmetric an image is about a given axis (symmetry scoring) underpins applications from visual aesthetics to medical imaging, yet proposed scoring methods have never been compared on a common, statistically gr…
arXiv cs.CV TIER_1 English(EN) · Maximilian Woehrer · 2026-07-09 11:56

经典与深度镜像对称评分：十三种方法的基准测试

Quantifying how mirror-symmetric an image is about a given axis (symmetry scoring) underpins applications from visual aesthetics to medical imaging, yet proposed scoring methods have never been compared on a common, statistically grounded protocol. We benchmark 13 scoring methods…