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Change Detection On Sysu Cd

Métriques

F1

IoU

KC

OA

Precision

Recall

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	F1	IoU	KC	OA	Precision	Recall	Paper Title	Repository
HCGMNet	79.76	66.33	74.11	91.12	86.28	74.15	HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection
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
DSAMNET	78.18	64.18	-	-	74.81	81.86	DSAMNet: A Deeply Supervised Attention Metric Based Network for Change Detection of High-Resolution Images
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
MaskCD	82.17	-	-	92.04	87.07	77.78	MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
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
ChangeMamba	83.11	71.10	78.13	92.30	86.11	80.31	ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model

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