Change Detection On Sysu Cd

Metrics

F1

IoU

KC

OA

Precision

Recall

Results

Performance results of various models on this benchmark

							Paper Title
ChangeMamba	83.11	71.10	78.13	92.30	86.11	80.31	ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model
RCTNet	83.01	70.96	-	-	84.33	81.73	Relating CNN-Transformer Fusion Network for Change Detection
CDMaskFormer	82.84	70.70	-	-	78.85	87.25	Rethinking Remote Sensing Change Detection With A Mask View
MaskCD	82.17	-	-	92.04	87.07	77.78	MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
CGNet	79.92	66.55	74.31	91.19	86.37	74.37	Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery
HCGMNet	79.76	66.33	74.11	91.12	86.28	74.15	HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection
DSAMNET	78.18	64.18	-	-	74.81	81.86	DSAMNet: A Deeply Supervised Attention Metric Based Network for Change Detection of High-Resolution Images
C2FNet	77.97	63.89	70.87	89.25	75.44	80.67	C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images
HANet	77.41	63.14	70.59	89.52	78.71	76.14	HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images

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Change Detection On Sysu Cd | SOTA | HyperAI