方法	误差↓				精度↑
方法	Abs Rel	Sq Rel	RMSE	RMSElog	$δ < 1.25$	$δ < {1.25}^{2}$	$δ < {1.25}^{3}$
Monodepth2 [7]	0.115	0.903	4.863	0.193	0.877	0.959	0.981
Sun [20]	0.117	0.863	4.813	0.192	0.871	0.959	0.982
SGDepth [21]	0.113	0.835	4.693	0.191	0.879	0.961	0.981
SAFENet [22]	0.112	0.788	4.582	0.187	0.878	0.963	0.983
VC-Depth [23]	0.112	0.816	4.715	0.190	0.880	0.960	0.982
PackNet-SfM [24]	0.108	0.727	4.426	0.184	0.885	0.963	0.983
Mono-Uncertainty [25]	0.111	0.863	4.756	0.188	0.881	0.961	0.982
HR-Depth [8]	0.109	0.792	4.632	0.185	0.884	0.962	0.983
Johnston [26]	0.106	0.861	4.699	0.185	0.889	0.962	0.982
CADepth [11]	0.105	0.769	4.535	0.187	0.892	0.964	0.983
DIFFNet [27]	0.102	0.749	4.445	0.179	0.897	0.965	0.983
MonoFormer [28]	0.108	0.806	4.627	0.184	0.889	0.962	0.983
Lite-Mono [29]	0.107	0.765	4.561	0.183	0.886	0.963	0.983
HCVNet(Ours)	0.101	0.730	4.417	0.177	0.899	0.966	0.984