Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Image Classification on Flowers102 (Testing Accuracy)
Loading...
42.75
Testing Accuracy
Grad-Mimic
9.1996
17.9098
26.62
35.3302
Jan 12, 2025
Testing Accuracy
Updated 7d ago
Evaluation Results
Method
Method
Links
Testing Accuracy
Grad-Mimic
Noise Level=0.4, Evalu...
2025.01
42.75
AGRA
Noise Level=0.4, Evalu...
2025.01
41.81
Rho-Loss
Noise Level=0.4, Evalu...
2025.01
41.55
Grad-Mimic
Noise Level=0.5, Evalu...
2025.01
37.1
AGRA
Noise Level=0.5, Evalu...
2025.01
36.28
Rho-Loss
Noise Level=0.5, Evalu...
2025.01
35.71
Grad-Mimic
Noise Level=0.6, Evalu...
2025.01
31.71
AGRA
Noise Level=0.6, Evalu...
2025.01
31.49
Rho-Loss
Noise Level=0.6, Evalu...
2025.01
30.02
SGD
Noise Level=0.4, Evalu...
2025.01
28.64
Grad-Match
Noise Level=0.4, Evalu...
2025.01
27
SGD
Noise Level=0.5, Evalu...
2025.01
21.5
Grad-Match
Noise Level=0.5, Evalu...
2025.01
20.21
Grad-Norm
Noise Level=0.4, Evalu...
2025.01
18.23
SGD
Noise Level=0.6, Evalu...
2025.01
15.43
Grad-Match
Noise Level=0.6, Evalu...
2025.01
14.9
Grad-Norm
Noise Level=0.5, Evalu...
2025.01
13.9
Grad-Norm
Noise Level=0.6, Evalu...
2025.01
10.49
Feedback
Search any
task
Search any
task