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Computer Vision
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Image Classification
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EuroSAT
Image Classification on EuroSAT
Metric: Accuracy (%) (higher is better)
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#
Model
↕
Accuracy (%)
▼
Extra Data
Paper
Date
↕
Code
1
DeepEnsembling
99.41
No
-
-
Code
2
IMP+MTP(IntenImage-XL)
99.24
No
MTP: Advancing Remote Sensing Foundation Model v...
2024-03-20
Code
3
µ2Net+ (ViT-L/16)
99.22
No
A Continual Development Methodology for Large-sc...
2022-09-15
Code
4
µ2Net (ViT-L/16)
99.2
No
An Evolutionary Approach to Dynamic Introduction...
2022-05-25
Code
5
ResNet50
99.2
Yes
In-domain representation learning for remote sen...
2019-11-15
Code
6
WaveMix
98.96
No
Which Backbone to Use: A Resource-efficient Doma...
2024-06-09
Code
7
MoCo-v2 (ResNet18, fine tune)
98.9
Yes
Self-supervised Learning in Remote Sensing: A Re...
2022-06-27
Code
8
DINO-MC (Wide ResNet)
98.78
Yes
Extending global-local view alignment for self-s...
2023-03-12
Code
9
MAE+MTP(ViT-L+RVSA)
98.78
No
MTP: Advancing Remote Sensing Foundation Model v...
2024-03-20
Code
10
MAE+MTP(ViT-B+RVSA)
98.76
No
MTP: Advancing Remote Sensing Foundation Model v...
2024-03-20
Code
11
MSMatch Multispectral
98.65
No
MSMatch: Semi-Supervised Multispectral Scene Cla...
2021-03-18
Code
12
MSMatch RGB
98.14
No
MSMatch: Semi-Supervised Multispectral Scene Cla...
2021-03-18
Code
13
SEER (RegNet10B - linear eval)
97.5
Yes
Vision Models Are More Robust And Fair When Pret...
2022-02-16
Code
14
DINO-MC (WRN linear eval))
95.7
Yes
Extending global-local view alignment for self-s...
2023-03-12
Code
15
MoCo-v2 (ResNet18, linear eval)
94.4
Yes
Self-supervised Learning in Remote Sensing: A Re...
2022-06-27
Code