Change Detection On Levir Cd

Métriques

F1-score

IoU

Overall Accuracy

Precision

Recall

Résultats

Résultats de performance de divers modèles sur ce benchmark

							Paper Title
MAE+MTP(ViT-L+RVSA)	92.67	-	-	-	-	-	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
IMP+MTP(InternImage-XL)	92.54	-	-	-	-	-	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
CLAFA-LWGANet L2	92.42	92.42	85.90	-	93.25	-	LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks
Changer (Ex, ResNeSt101)	92.33	-	85.76	-	-	-	Changer: Feature Interaction is What You Need for Change Detection
LSKNet	92.27	92.27	85.65	-	93.34	91.23	LSKNet: A Foundation Lightweight Backbone for Remote Sensing
SRC-Net	92.24	92.24	85.60	-	-	-	SRC-Net: Bi-Temporal Spatial Relationship Concerned Network for Change Detection
MAE+MTP(ViT-B+RVSA)	92.22	-	-	-	-	-	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Changer (Ex, ResNeSt50)	92.19	-	85.51	-	-	-	Changer: Feature Interaction is What You Need for Change Detection
TTP	92.1	-	85.6	99.2	93.0	91.7	Time Travelling Pixels: Bitemporal Features Integration with Foundation Model for Remote Sensing Image Change Detection
CGNet	92.01	92.01	85.21	99.20	93.15	90.90	Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery
ChangeCLIP	92.01	-	85.20	99.20	93.40	90.67	ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning
P2V-CD	91.94	-	-	-	-	-	Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images
C2FNet	91.83	99.18	93.69	90.04	84.89	91.40	C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images
HCGMNet	91.77	91.77	84.79	99.18	92.96	90.61	HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection
Changer (Ex, ResNet-18)	91.77	-	84.80	-	-	-	Changer: Feature Interaction is What You Need for Change Detection
ChangeStar(BiSup)	91.25	-	83.92	-	-	-	Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery
DDPM-CD	90.91	-	-	99.09	-	-	DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection
BiFA	90.69	-	82.96	99.06	91.52	89.86	BiFA: Remote Sensing Image Change Detection With Bitemporal Feature Alignment
CDMaskFormer	90.66	-	82.92	99.06	92.01	89.35	Rethinking Remote Sensing Change Detection With A Mask View
FTAN	90.51	-	82.78	-	92.41	88.82	Frequency-Temporal Attention Network for Remote Sensing Imagery Change Detection

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Change Detection On Levir Cd

Métriques

Résultats