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Caltech

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationCaltech101
Accuracy96.92
228
Image ClassificationCaltech-101
Accuracy98.9
211
Image ClassificationCaltech101 (test)
Accuracy99.12
204
Image ClassificationCaltech (test)
Accuracy94.5
165
Image ClassificationCaltech-101
Top-1 Accuracy98.6
152
Image ClassificationCaltech101
Base Accuracy99.1
148
Image ClassificationCaltech101
Base Accuracy98.37
129
Image ClassificationCaltech
Accuracy97.2
129
Image ClassificationCaltech101
Top-1 Accuracy (Caltech101)95.57
84
Image ClassificationCaltech-256 (test)
Top-1 Acc87
74
Base-to-New GeneralizationCaltech101
Base Score99.07
70
Image ClassificationCaltech256
Accuracy (Clean)88.84
69
Fine-grained classificationCaltech101
Accuracy95.9
60
Object RecognitionN-Caltech101
Accuracy94.56
51
Object ClassificationN-Caltech101 (test)
Accuracy90.2
51
Image ClassificationCaltech-256
Accuracy97.33
49
Image ClassificationCaltech-101 naturally imbalanced (test)
Accuracy79.2
45
Image ClassificationCaltech101
Accuracy94.85
40
ClusteringCaltech 7-5V
ACC90.4
40
ClassificationCaltech101
Accuracy97.6
39
Pedestrian DetectionCaltech (test)
MR9.6
36
Image ClassificationCaltech101
Accuracy97.3
34
Partial-label image classificationCaltech (test)
Testing Accuracy87
34
Image ClassificationCaltech-256
Robust Accuracy60.83
34
Image ClassificationCaltech 256
Clean Accuracy90.5
33
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