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Change Detection On Dsifn Cd

Metriken

F1

IoU

KC

Overall Accuracy

Precision

Recall

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	F1	IoU	KC	Overall Accuracy	Precision	Recall	Paper Title	Repository
C2FNet	64.03	47.09	55.62	86.19	57.45	72.31	C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images	-
HCGMNet	55.00	37.93	41.53	76.26	40.57	85.35	HCGMNET: A Hierarchical Change Guiding Map Network For Change Detection	-
USSFC-Net	69.47	53.21	-	-	-	-	Ultralightweight Spatial–Spectral Feature Cooperation Network for Change Detection in Remote Sensing Images
HANet	62.67	45.64	54.01	85.76	56.52	70.33	HANet: A Hierarchical Attention Network for Change Detection With Bitemporal Very-High-Resolution Remote Sensing Images	-
CGNet	60.19	43.05	49.34	81.71	47.75	81.38	Change Guiding Network: Incorporating Change Prior to Guide Change Detection in Remote Sensing Imagery	-
CDMaskFormer	74.75	59.68	-	91.55	75.96	73.57	Rethinking Remote Sensing Change Detection With A Mask View	-
DDPM-CD	96.65	-	-	97.09	-	-	DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection	-
SARAS-Net	67.58	51.04	-	89.01	-	-	SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection	-
FTAN	89.56	81.10	-	-	90.54	88.61	Frequency-Temporal Attention Network for Remote Sensing Imagery Change Detection

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Change Detection On Dsifn Cd | SOTA | HyperAI