HyperAI초신경

홈 뉴스 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Change Detection On Dsifn Cd

평가 지표

F1

IoU

KC

Overall Accuracy

Precision

Recall

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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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