HyperAI超神经

首页资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Change Detection On Dsifn Cd

评估指标

F1

IoU

KC

Overall Accuracy

Precision

Recall

评测结果

各个模型在此基准测试上的表现结果

模型名称	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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