arXiv Computer Vision September 7, 2026 By Shuxuan Yao, Chengjia Wang, Jianyuan Sun, Junyu Dong, Xinghui Dong

Water Reflection Detection Using Symmetric Attention

Read the original on arXiv Computer Vision →

The paper introduces SAWRD-Net, a symmetry‑aware network for detecting water reflections. It uses dihedral group‑equivariant convolutions, a multi‑scale reflection equivariant block with symmetric attention, and a matrix‑decomposition decoder to regress keypoints on the reflection axis. On the largest water reflection dataset, SAWRD‑Net achieves a 0.890 true‑positive rate, surpassing existing detectors.

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