Table 2:

Evaluation performance on challenging simulated Dataset B and experimental Dataset C with SNR = 0.01.

Method	Segmentation		Classification	Dataset
	Pix acc	mIoU	Obj acc
DSRF3D-v2[6]	-	-	*
SSN3D-ED [12]	98.15	76.43	-	Simulated
Cls Subnet	-	-	43.75
Seg Subnet	98.37	79.70	-
DSM-Net	98.59	81.40	53.12
DSRF3D-v2[6]	-	-	*
SSN3D-ED [12]	95.24	58.93	-	Experimental
Cls Subnet	-	-	*
Seg Subnet	96.01	60.38	-
DSM-Net	95.80	61.26	100.00