C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images

Benchmark Model Rank Results
change-detection-on-cdd-dataset-season-1C2FNet#10F1-Score: 95.93F1: 95.93Precision: 95.46Recall: 96.41
change-detection-on-dsifn-cdC2FNet#6F1: 64.03Precision: 57.45Recall: 72.31Overall Accuracy: 86.19
change-detection-on-googlegz-cdC2FNet#1F1: 86.86Precision: 85.46Recall: 88.31Overal Accuracy: 93.43
change-detection-on-levirC2FNet#8F1: 79.15Prcision: 77.19Recall: 81.22OA: 98.26KC: 78.25
change-detection-on-levir-cdC2FNet#15F1: 91.83IoU: 93.69Overall Accuracy: 90.04F1-score: 99.18
change-detection-on-s2lookingC2FNet#9F1-Score: 62.83Precision: 74.84Recall: 54.14OA: 99.22KC: 62.44
change-detection-on-sysu-cdC2FNet#11F1: 77.97Precision: 75.44Recall: 80.67OA: 89.25KC: 70.87
change-detection-on-whu-cdC2FNet#3F1: 94.36Precision: 96.57Recall: 92.26Overall Accuracy: 99.56
semi-supervised-change-detection-on-levir-cdC2F-SemiCD#3IoU: 81.76F1: 89.97Precision: 91.45Recall: 88.53OA: 98.99
semi-supervised-change-detection-on-levir-cd-1C2F-SemiCD#2IoU: 83.15F1: 90.80Precision: 92.44Recall: 89.22OA: 99.08
semi-supervised-change-detection-on-levir-cd-2C2F-SemiCD#2IoU: 83.75F1: 91.16Precision: 93.26Recall: 89.15OA: 99.12
semi-supervised-change-detection-on-levir-cd-3C2F-SemiCD#1IoU: 84.62F1: 91.67Precision: 93.41Recall: 89.99OA: 99.17
semi-supervised-change-detection-on-whu-10C2F-SemiCD#3IoU: 76.33F1: 86.58Precision: 87.35Recall: 85.81OA: 98.94
semi-supervised-change-detection-on-whu-20C2F-SemiCD#2IoU: 81.93F1: 90.07Precision: 91.83Recall: 88.36OA: 99.23
semi-supervised-change-detection-on-whu-40C2F-SemiCD#2IoU: 86.97F1: 93.03Precision: 93.20Recall: 92.86OA: 99.45
semi-supervised-change-detection-on-whu-5C2F-SemiCD#3IoU: 74.87F1: 85.63Precision: 86.51Recall: 84.77OA: 98.87