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Remote Sensing Change Detection on CLCD (test)

78.55F1 ScoreCDMaskFormer
9.608427.506745.40563.3033Apr 22, 2023Oct 7, 2023Mar 23, 2024Sep 7, 2024Feb 22, 2025Aug 9, 2025Jan 25, 2026

Evaluation results

MethodLinks
CDMaskFormer2024.0678.5577.2779.8764.6796.86
SARASNet2024.0674.772.8376.6859.6296.33
STNetParams (M)=14.6, Flops (G)=9.61, Input Resolution=256x256x32023.0473.9————
STNet2023.0473.973.3874.4258.6196.12
DDLNet2024.0672.4466.978.9356.7895.94
BIT2024.0667.162.0473.0750.4995.47
SNUNet2024.0666.760.8873.7650.0495.48
DMATNet2023.0466.5661.3472.7449.8795.41
DMATNet2024.0666.5661.3472.7449.8795.41
DMATNet2024.0666.5661.3472.7449.8795.41
USSFC-Net2024.0663.0461.3464.8346.0394.42
LGPNet2024.0663.0356.9670.5446.0195.03
ChangeStar(FarSeg)2023.0460.7559.3462.2343.6394.3
ChangeStar2024.0660.7559.3462.2343.6394.3
ChangeStar(FarSeg)2024.0660.7559.3462.2343.6394.3
SNUNet2023.0460.5456.1965.6343.4194.55
SNUNet2024.0660.5456.1965.6343.4194.55
DTCDSCN2023.0460.1357.5362.9842.9994.32
DTCDSCN2024.0660.1357.5362.9842.9994.32
DTCDSCN2024.0660.1357.5362.9842.9994.32
UniCDv1Learning Paradigm=Weakly-supervised, Backbone=FastSAM2026.0159.1——41.9594.21
UniCDv2Learning Paradigm=Weakly-supervised, Backbone=ResNet2026.0158.46——41.394.37
ChangeFormer2023.0458.4453.076541.2894.38
ChangeFormer2024.0658.4453.076541.2894.38
ChangeFormer2024.0658.4453.076541.2894.38
BIT2023.0457.1351.3464.3939.9994.27
BIT2024.0657.1351.3464.3939.9994.27
LGPNet2023.0455.4249.4962.9838.3394.1
LGPNet2024.0655.4249.4962.9838.3394.1
FC-Siam-Conc2023.0454.4845.2268.2137.3594.35
FC-Siam-Conc2024.0654.4845.2268.2137.3594.35
FC-Siam-Conc2024.0654.4845.2268.2137.3594.35
SEAMLearning Paradigm=Weakly-supervised2026.0151.01——34.2392.29
S2CLearning Paradigm=Weakly-supervised2026.0150.84——34.0891.54
CS-WSCDLearning Paradigm=Weakly-supervised2026.0149.96——33.391.1
IFNet2023.0448.6547.4149.9632.1492.55
IFNet2024.0648.6547.4149.9632.1492.55
IFNet2024.0648.6547.4149.9632.1492.55
FC-EF2023.0448.6436.2973.3432.1494.3
FC-EF2024.0648.6436.2973.3432.1494.3
FC-EF2024.0648.6436.2973.3432.1494.3
TransWCDLearning Paradigm=Weakly-supervised2026.0147.7——31.3292.78
UniCDv2Evaluation Paradigm=Unsupervised, Backbone=ResNet2026.0145.96——29.8491.38
FC-Siam-Di2023.0444.131.672.9728.2994.04
FC-Siam-Di2024.0644.131.672.9728.2994.04
FC-Siam-Di2024.0644.131.672.9728.2994.04
UniCDv1Evaluation Paradigm=Unsupervised, Backbone=FastSAM2026.0138.12——23.5683.4
MS-FormerLearning Paradigm=Weakly-supervised2026.0137.17——22.8387.18
FCD-GANEvaluation Paradigm=Unsupervised2026.0134.86——21.1283.63
I3PEEvaluation Paradigm=Unsupervised2026.0134.44——20.7885.87
MCTFormerLearning Paradigm=Weakly-supervised2026.0134.39——20.7790.1
BGMixLearning Paradigm=Weakly-supervised2026.0133.9——20.4191.17
AnyChangeEvaluation Paradigm=Unsupervised2026.0127.39——15.8780.88
FCD-GANLearning Paradigm=Weakly-supervised2026.0125.88——14.8692.92
WCDNetLearning Paradigm=Weakly-supervised2026.0125.66——14.7292.11
SiROCEvaluation Paradigm=Unsupervised2026.0119.79——1180.87
DSFAEvaluation Paradigm=Unsupervised2026.0118.32——10.0857.81
ISFAEvaluation Paradigm=Unsupervised2026.0117.83——9.7976.13
DCVAEvaluation Paradigm=Unsupervised2026.0117.35——9.555.45
KPCAEvaluation Paradigm=Unsupervised2026.0117.16——9.3870.06
CDRLEvaluation Paradigm=Unsupervised2026.0112.26——6.5449.49