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Models/C2FNet

C2FNet

Reported on 57 benchmarks across 8 tasks · 2 papers · 22 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision53 results

Change DetectiononSYSU-CD
Recall· 2024-04-22
80.67
best: 87.25 (CDMaskFormer)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononGoogleGZ-CD
F1· 2024-04-22
86.86
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononGoogleGZ-CD
IoU· 2024-04-22
76.77
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononGoogleGZ-CD
KC· 2024-04-22
82.48
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononGoogleGZ-CD
Overal Accuracy· 2024-04-22
93.43
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononGoogleGZ-CD
Recall· 2024-04-22
88.31
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononDSIFN-CD
KC· 2024-04-22
55.62
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononDSIFN-CD
Precision· 2024-04-22
57.45
best: 90.54 (FTAN)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononWHU-CD
F1· 2024-04-22
94.36
best: 95.24 (CLAFA-LWGANet L2)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononWHU-CD
IoU· 2024-04-22
89.33
best: 90.92 (CLAFA-LWGANet L2)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononWHU-CD
KC· 2024-04-22
94.14
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononWHU-CD
Precision· 2024-04-22
96.57
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononWHU-CD
Recall· 2024-04-22
92.26
best: 93.6 (BiFA)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR-CD
F1-score· 2024-04-22
99.18
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR-CD
IoU· 2024-04-22
93.69
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononS2Looking
Precision· 2024-04-22
74.84
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononCDD Dataset (season-varying)
F1· 2024-04-22
95.93
best: 97.89 (ChangeCLIP)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononCDD Dataset (season-varying)
IoU· 2024-04-22
92.18
best: 95.87 (ChangeCLIP)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononCDD Dataset (season-varying)
KC· 2024-04-22
95.39
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononCDD Dataset (season-varying)
Overall Accuracy· 2024-04-22
99.04
best: 99.48 (ChangeCLIP)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononCDD Dataset (season-varying)
Precision· 2024-04-22
95.46
best: 98.02 (ChangeCLIP)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononCDD Dataset (season-varying)
Recall· 2024-04-22
96.41
best: 97.77 (ChangeCLIP)
SOTA
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononSYSU-CD
F1· 2024-04-22
77.97
best: 84.58 (SChanger-small)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononSYSU-CD
IoU· 2024-04-22
63.89
best: 71.1 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononSYSU-CD
KC· 2024-04-22
70.87
best: 78.13 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononSYSU-CD
OA· 2024-04-22
89.25
best: 92.3 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononSYSU-CD
Precision· 2024-04-22
75.44
best: 87.07 (MaskCD)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononGoogleGZ-CD
Precision· 2024-04-22
85.46
best: 88.07 (CGNet)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR+
F1· 2024-04-22
79.15
best: 88.39 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR+
IoU· 2024-04-22
65.5
best: 79.2 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR+
KC· 2024-04-22
78.25
best: 87.91 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR+
OA· 2024-04-22
98.26
best: 99.06 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR+
Prcision· 2024-04-22
77.19
best: 89.24 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR+
Recall· 2024-04-22
81.22
best: 87.57 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononDSIFN-CD
F1· 2024-04-22
64.03
best: 96.65 (DDPM-CD)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononDSIFN-CD
IoU· 2024-04-22
47.09
best: 81.1 (FTAN)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononDSIFN-CD
Overall Accuracy· 2024-04-22
86.19
best: 97.09 (DDPM-CD)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononDSIFN-CD
Recall· 2024-04-22
72.31
best: 88.61 (FTAN)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononWHU-CD
Overall Accuracy· 2024-04-22
99.56
best: 99.58 (ChangeMamba)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR-CD
F1· 2024-04-22
91.83
best: 92.87 (SChanger-base)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR-CD
Overall Accuracy· 2024-04-22
90.04
best: 99.2 (TTP)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR-CD
Precision· 2024-04-22
84.89
best: 93.4 (ChangeCLIP)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononLEVIR-CD
Recall· 2024-04-22
91.4
best: 91.7 (TTP)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononS2Looking
F1· 2024-04-22
62.83
best: 63.87 (HCGMNet)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononS2Looking
F1-Score· 2024-04-22
62.83
best: 68.95 (SChanger-base)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononS2Looking
IoU· 2024-04-22
45.8
best: 50.96 (LSKNet-S)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononS2Looking
KC· 2024-04-22
62.44
best: 63.93 (CGNet)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononS2Looking
OA· 2024-04-22
99.22
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononS2Looking
Recall· 2024-04-22
54.14
best: 63.64 (LSKNet-S)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Change DetectiononCDD Dataset (season-varying)
F1-Score· 2024-04-22
95.93
best: 98.42 (P2V-CD)
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images arXiv:2404.13838
Object DetectiononPCOD_1200
S-Measure· 2021-05-26
0.893
best: 0.922 (CMX)
Context-aware Cross-level Fusion Network for Camouflaged Object Detection arXiv:2105.12555
Camouflaged Object SegmentationonPCOD_1200
S-Measure· 2021-05-26
0.893
best: 0.922 (CMX)
Context-aware Cross-level Fusion Network for Camouflaged Object Detection arXiv:2105.12555
Object SegmentationonPCOD_1200
S-Measure· 2021-05-26
0.893
best: 0.922 (CMX)
Context-aware Cross-level Fusion Network for Camouflaged Object Detection arXiv:2105.12555

Methodology4 results

3DonPCOD_1200
S-Measure· 2021-05-26
0.893
best: 0.922 (CMX)
Context-aware Cross-level Fusion Network for Camouflaged Object Detection arXiv:2105.12555
2D ClassificationonPCOD_1200
S-Measure· 2021-05-26
0.893
best: 0.922 (CMX)
Context-aware Cross-level Fusion Network for Camouflaged Object Detection arXiv:2105.12555
2D Object DetectiononPCOD_1200
S-Measure· 2021-05-26
0.893
best: 0.922 (CMX)
Context-aware Cross-level Fusion Network for Camouflaged Object Detection arXiv:2105.12555
16konPCOD_1200
S-Measure· 2021-05-26
0.893
best: 0.922 (CMX)
Context-aware Cross-level Fusion Network for Camouflaged Object Detection arXiv:2105.12555