Frequency-Temporal Attention Network for Remote Sensing Imagery Change Detection
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Benchmark
Model
Rank
Results
change-detection-on-dsifn-cd
FTAN
#2
F1: 89.56
Precision: 90.54
Recall: 88.61
IoU: 81.10
change-detection-on-levir-cd
FTAN
#23
F1: 90.51
IoU: 82.78
Recall: 88.82
Precision: 92.41
Rank counts only results with a code link.