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Imagenette

Benchmarks

Task NameDataset NameSOTA ResultTrend
Image ClassificationImageNette (test)
Accuracy95.3
164
Image ClassificationImageNette (val)
Accuracy0.98
75
Image ClassificationImageNette ImageNet-1K (test)
Accuracy67.6
72
Coarse-grained UnlearningImagenette
Atar100
70
Class ErasureImagenette
UA100
66
Poison detectionImageNette
TPR100
60
Image ClassificationImagenette
Top-1 Accuracy98.88
52
Machine UnlearningImageNette gas pump Class 7 (test)
Forget Accuracy100
48
Class-wise forgettingImagenette (val)
FID0.78
44
Backdoor CertificationImageNette (test)
AER74
36
Image ClassificationImagenette
Accuracy98
36
Image ReconstructionImageNette
SSIM0.997
27
Image ClassificationImageNette Long-tailed ImageNet
Accuracy34.7
22
Class-wise ForgettingImagenette Stable Diffusion v1.4 (val)
FID0.67
22
Concept AwakeningImageNette & Harmful Concepts Quantitative Assessment (200 images per concept)
Accuracy95
21
Image ClassificationImageNette standard evaluation
Top-1 Accuracy92.6
19
Backdoor DefenseImageNette
AER0.67
18
Image GenerationImageNette
FID0.35
18
Machine UnlearningImagenette
Accuracy (garbage truck)76.7
18
Image ClassificationImagenette 256 x 256 10 classes (test)
Classification Accuracy90.67
17
Object UnlearningImagenette Object Unlearning Subset
ERASE FID0
16
Image ClassificationImageNette 128x128 (test)
Top-1 Acc87.4
16
Attribution Adversarial SensitivityImagenette 224x224 (test)
VGrad0.61
15
Image ClassificationImageNette (val test)
Top-1 Accuracy84.2
15
Attribution RobustnessImagenette (val)
Accuracy84
14
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