Semantic Segmentation on ISPRS Potsdam

Metric: Mean IoU (higher is better)

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#	Model↕	Mean IoU▼	Extra Data	Paper	Date↕	Code
1	U-Net (ConvFormer-M36)	89.45	No	-	-	-
2	AerialFormer-B	89.1	No	AerialFormer: Multi-resolution Transformer for A...	2023-06-12	Code
3	DC-Swin	87.56	Yes	A Novel Transformer Based Semantic Segmentation ...	2021-04-25	Code
4	FT-UNetFormer	87.5	Yes	UNetFormer: A UNet-like Transformer for Efficien...	2021-09-18	Code
5	LSKNet-S	87.2	No	LSKNet: A Foundation Lightweight Backbone for Re...	2024-03-18	Code
6	UNetFormer	86.8	Yes	UNetFormer: A UNet-like Transformer for Efficien...	2021-09-18	Code
7	PSPNet (SAP)	74.3	No	Stochastic Subsampling With Average Pooling	2024-09-25	-

#1U-Net (ConvFormer-M36)
89.45
Mean IoU
No paper
#2AerialFormer-BSOTA
89.1
Mean IoU· 2023-06-12
AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation Code
#3DC-SwinSOTA
87.56
Mean IoU· Extra Data· 2021-04-25
A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images Code
#4FT-UNetFormer
87.5
Mean IoU· Extra Data· 2021-09-18
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery Code
#5LSKNet-S
87.2
Mean IoU· 2024-03-18
LSKNet: A Foundation Lightweight Backbone for Remote Sensing Code
#6UNetFormer
86.8
Mean IoU· Extra Data· 2021-09-18
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery Code
#7PSPNet (SAP)
74.3
Mean IoU· 2024-09-25
Stochastic Subsampling With Average Pooling