HyperAI超神経

ホームニュース最新論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

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HyperAI超神経

Change Detection On Sysu Cd

評価指標

F1

IoU

KC

OA

Precision

Recall

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	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	-

0 of 9 row(s) selected.

Change Detection On Sysu Cd | SOTA | HyperAI超神経