| P2V-CD |
- F1-Score
- 98.42
|
Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images 2022-12-07 |
코드 1 · 코드 2 |
| IMP+MTP(InternImage-XL) |
- F1-Score
- 98.33
|
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining 2024-03-20 |
코드 1 · 코드 2 |
| MAE+MTP(ViT-L+RVSA) |
- F1-Score
- 97.98
|
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining 2024-03-20 |
코드 1 · 코드 2 |
| ChangeCLIP |
- F1-Score
- 97.89
- Precision
- 98.02
- F1
- 97.89
- Overall Accuracy
- 99.48
- IoU
- 95.87
- Recall
- 97.77
|
ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning 2024-01-04 |
코드 1 |
| MAE+MTP(ViT-B+RVSA) |
- F1-Score
- 97.87
|
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining 2024-03-20 |
코드 1 · 코드 2 |
| SGSLN/512 |
- F1-Score
- 97.77
|
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization 2023-11-19 |
코드 1 |
| SChanger-base |
- F1-Score
- 97.62
|
SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective 2025-03-26 |
코드 1 |
| SGSLN/256 |
- F1-Score
- 96.24
|
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization 2023-11-19 |
코드 1 |
| SNUNet-c48 |
- F1-Score
- 96.2
|
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images 2021-02-17 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| C2FNet |
- F1-Score
- 95.93
- Precision
- 95.46
- F1
- 95.93
- Overall Accuracy
- 99.04
- IoU
- 92.18
- Recall
- 96.41
- KC
- 95.39
|
C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images 2024-04-22 |
코드 1 |
| SChanger-small |
- F1-Score
- 95.75
|
SChanger: Change Detection from a Semantic Change and Spatial Consistency Perspective 2025-03-26 |
코드 1 |
| DDPM-CD |
- F1-Score
- 95.62
- Overall Accuracy
- 98.98
|
DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection 2022-06-23 |
코드 1 |
| SNUNet-c32 |
- F1-Score
- 95.3
|
SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images 2021-02-17 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| HCGMNet |
- F1-Score
- 95.07
- Precision
- 93.84
- F1
- 95.07
- Overall Accuracy
- 98.82
- IoU
- 90.60
- Recall
- 96.34
- KC
- 94.40
|
HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection 2023-02-21 |
코드 1 |
| CGNet |
- F1-Score
- 94.73
- Precision
- 93.67
- F1
- 94.73
- Overall Accuracy
- 98.74
- IoU
- 90.00
- Recall
- 95.82
- KC
- 94.02
|
Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery 2024-04-14 |
코드 1 |
| SGSLN/128 |
- F1-Score
- 93.76
|
Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization 2023-11-19 |
코드 1 |
| ESCNet |
- F1-Score
- 93.54
|
ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images 2021-07-05 |
코드 1 |
| HANet |
- F1-Score
- 89.23
- Precision
- 92.86
- F1
- 89.23
- Overall Accuracy
- 97.32
- IoU
- 90.55
- Recall
- 85.87
- KC
- 87.70
|
HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images 2024-04-14 |
코드 1 |