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SOTA Linear Classification benchmarks and papers with code | Wizwand
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Linear Classification
Benchmarks
Dataset Name
SOTA Method
Dataset Name
SOTA Method
Metric
Trend
Results
Last Updated
CIFAR-10 (test)
BYOL w/ DSSL
Top-1 Accuracy
94.7
116
2mo ago
ImageNet 1K 1.0 (val)
LEWEL_B
Top-1 Accuracy
73.8
48
4mo ago
COVIDx (test)
SISTA
Accuracy
93
39
4mo ago
RSNA (test)
MGCA
AUC
90.8
39
4mo ago
CheXpert (test)
MLIP
AUC
0.9
39
4mo ago
ImageNet 1k (val)
SDMP+
Top-1 Accuracy
73.5
37
4mo ago
ImageNet official (val)
Supervised ResNet50 v2
Accuracy
76
19
4mo ago
Places205 official (val)
Supervised ResNet50 v2
Accuracy
61.6
14
4mo ago
MAG (random)
DeepWalk
Accuracy
34.2
12
1mo ago
arXiv (random)
DeepWalk
Accuracy
68.1
12
1mo ago
MNIST (random)
CNE
Accuracy
97.1
12
1mo ago
Computer (random)
graph NE
Accuracy
89.7
12
1mo ago
Photo (random)
graph NEτ
Accuracy
93.4
12
1mo ago
PubMed (random)
CNE
Accuracy
83.6
12
1mo ago
Citeseer (random)
Laplacian E.
Accuracy
73.6
12
1mo ago
CheXpert v1.0 (test)
MGCA
AUC (1%)
88.8
12
4mo ago
COVIDx 100% (train)
G2D
Accuracy
93.4
9
4mo ago
COVIDx 10% (train)
G2D
Accuracy
88.2
9
4mo ago
COVIDx 1% (train)
G2D
Accuracy
76.6
9
4mo ago
RSNA 100% (train)
G2D
AUC
93.6
9
4mo ago
RSNA 10% (train)
G2D
AUC
0.929
9
4mo ago
RSNA 1% (train)
G2D
AUC
92.2
9
4mo ago
CheXpert 100% (train)
G2D
AUC
91.1
9
4mo ago
CheXpert (10% train)
G2D
AUC
90.4
9
4mo ago
CheXpert 1% (train)
G2D
AUC
89.7
9
4mo ago
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