HyperAI초신경

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

한국어

HyperAI초신경

Change Detection On Sysu Cd

평가 지표

F1

IoU

KC

OA

Precision

Recall

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	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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