Underwater Depth Estimation for Spherical Images

Table 1

Performance comparison on 1412 images from the Stanford 2D-3D-S dataset.

Methods	RMS (m)	Rel (m)	log10
Ours: +	0.683	0.177	0.075	0.744	0.919	0.972
FCRN GAN	0.687	0.181	0.078	0.737	0.920	0.972
FCRN RGB	1.281	0.327	0.181	0.387	0.648	0.801

All tests use images transformed with GAN as input. Our approach and FCRN GAN were trained with synthetic images, while FCRN RGB uses, for comparison, RGB images as training data. The terms are explained below. The arrows indicate that smaller or bigger values are better.