Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Image Classification on CIFAR100 (CA and ASR(N) Evaluation)
Loading...
80.17
Classification Accuracy (CA)
Individual
35.5644
47.1447
58.725
70.3053
Jun 10, 2026
Classification Accuracy (CA)
Average Success Rate (ASR(N))
Updated 1mo ago
Evaluation Results
Method
Method
Links
Classification Accuracy (CA)
Average Success Rate (ASR(N))
Individual
Merging Protocol=LoBAM
2026.06
80.17
84.08
TA
Merging Protocol=LoBAM
2026.06
64.48
53.65
LFPM
Merging Protocol=LoBAM
2026.06
62.22
18.79
SAM
Merging Protocol=LoBAM
2026.06
60.57
19.06
PAM
Merging Protocol=LoBAM
2026.06
57.8
21.2
SAU
Merging Protocol=LoBAM
2026.06
50.96
83.91
IBVS
Merging Protocol=LoBAM
2026.06
37.28
31.99
Feedback
Search any
task
Search any
task
