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Flower

Benchmarks

Task NameDataset NameSOTA ResultTrend
Fine-grained classificationFlower102 (test)
Accuracy97.8
40
Fine-grained classificationFlower102
Clean Accuracy76.5
38
Image ClassificationFlower102
Accuracy76.5
27
Image ClassificationFlower102
Base Accuracy96.5
26
Image ClassificationFlower102
Average Set Size10.1
24
Fine-grained Image ClassificationFlower102
Accuracy99.19
24
Image ClassificationFlower
Accuracy95.84
23
Image ClassificationFlower (test)
Accuracy99.45
18
Image ClassificationFlower102
Accuracy99
16
Image ClassificationFlower-102 (test)
NLL (N=510)0.54
16
Image ClassificationFlower102
CovGap0.13
13
Image ClassificationFlower102
Clean Accuracy65.6
13
Image ClassificationFlower102
Robust Accuracy37.02
13
Fine-grained ClassificationFlower102
Top-1 Acc98.9
13
Image ClassificationFlower102
Avg Set Size12.5
12
ClassificationFlower102
Accuracy79.6
12
Image ClassificationFlower102
CovGap0.14
12
Spectral ClusteringFlower-20M
Time Cost (s)311.94
11
ClusteringFlower-20M
Cluster Accuracy93.79
11
Multi-view ClassificationFlower (test)
Balanced Accuracy0.8633
10
Fine-grained Visual RecognitionFlower-102 (test)
EM96.5
9
Adversarial Image ClassificationFlower102
CW Accuracy54.8
8
Equilibrated reaction predictionFlowER 19 (original)
Step Accuracy (Top-1)89.74
8
Image ClassificationFlower
Top-1 Accuracy70.36
7
Long-tail classificationFlower-LT IF=10
Accuracy97.8
7
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