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Semantic Segmentation On Spacenet 1

Metrics

Mean IoU

Results

Performance results of various models on this benchmark

		Paper Title	Repository
MAE+MTP(ViT-L)	79.69	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
MAE+MTP(ViT-B+RVSA)	79.63	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
MAE+MTP(ViT-L+RVSA)	79.54	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
SelectiveMAE+ViT-B	79.50	Scaling Efficient Masked Image Modeling on Large Remote Sensing Dataset
IMP+MTP(InternImage-XL)	79.16	MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
PSANet w/ ResNet50 - FMoW self-supervised pre-training w/ MoCo-V2 + Temporal Positives	78.48	Geography-Aware Self-Supervised Learning
PSANet w/ ResNet50 backbone - FMoW self-supervised pre-training w/ MoCo-V2	78.05	Geography-Aware Self-Supervised Learning
PSANet w/ ResNet50 backbone - FMoW pretrained	75.57	Geography-Aware Self-Supervised Learning
PSANet w/ ResNet50 backbone - ImageNet pretrained	75.23	Geography-Aware Self-Supervised Learning
PSANet w/ ResNet50 backbone	74.93	Geography-Aware Self-Supervised Learning

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Semantic Segmentation On Spacenet 1 | SOTA | HyperAI