HyperAI

Change Detection For Remote Sensing Images On

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F1-Score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
F1-Score
Paper TitleRepository
MAE+MTP(ViT-L+RVSA)0.9798MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
Siam-NestedUNet-c320.915Siamese NestedUNet Networks for Change Detection of High Resolution Satellite Image
RDP-Net0.9723RDP-Net: Region Detail Preserving Network for Change Detection
RSP-Swin-T-BIT0.9521An Empirical Study of Remote Sensing Pretraining
SiamixFormer-10.9278SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images-
SiamixFormer-00.9205SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images-
IMP-ViTAEv2-S-BIT0.9702An Empirical Study of Remote Sensing Pretraining
RSP-ResNet-50-BIT0.96An Empirical Study of Remote Sensing Pretraining
SiamixFormer-30.9648SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images-
P2V-CD0.9842Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images
SARAS-Net0.9749SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
SiamixFormer-20.9552SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images-
SiamixFormer-50.9713SiamixFormer: a fully-transformer Siamese network with temporal Fusion for accurate building detection and change detection in bi-temporal remote sensing images-
SDACD0.9734An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection
IFN0.903A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images
MAE+MTP(ViT-B+RVSA)0.9787MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
ESCNet0.9354ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images
SNUNet-c480.962SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images
DASNet0.919DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
IMP+MTP(InternImage-XL)0.9833MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
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