Table 2 Comparison results on the two change detection datasets.
From: Urban change detection of remote sensing images via deep-feature extraction
Models | Params (M) | FLOPs (G) | OSCD Pre_c/Rec_c/Pre_nc/Rec_nc/F1/Kappa | CD_Data_GZ Pre_c/Rec_c/Pre_nc/Rec_nc/F1/Kappa |
|---|---|---|---|---|
FC-Siam-conc | 15.46 | 50.77 | 35.29/25.59/96.18/97.56/29.67/26.62 | 69.06/45.25/93.24/97.38/54.68/50.18 |
DTCDSCN | 41.07 | 7.21 | 33.96/29.05/92.60/94.65/32.77/28.87 | 60.97/55.09/97.76/85.45/56.63/40.71 |
SNUNet | 12.03 | 27.44 | 34.21/27.64/93.28/95.02/32.95/29.15 | 67.46/50.58/90.98/93.85/48.10/42.22 |
BIT | 26.30 | 68.50 | 35.73/29.79/97.95/95.63/34.05/30.93 | 63.09/51.23/91.98/91.40/56.72/48.64 |
AMTNet | 16.45 | 14.80 | 34.76/29.66/95.83/97.01/33.56/30.73 | 57.25/55.63/90.69/94.97/53.01/49.18 |
ScratchFormer | 55.58 | 48.79 | 39.22/49.90/96.04/97.78/48.93/45.95 | 56.29/56.14/89.41/96.21/56.50/50.48 |
BiUnet-Dense | 43.10 | 53.54 | 43.22/57.13/97.93/96.09/49.21/46.18 | 58.29/56.03/94.36/94.83/57.14/51.74 |
