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Benchmarks
Image Classification on CIFAR100 (Accuracy and Pruning Rate)
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80.7
Accuracy
BLS-SeTa
78.1
78.775
79.45
80.125
Apr 6, 2026
Accuracy
Pruning Rate
Updated 12d ago
Evaluation Results
Method
Method
Links
Accuracy
Pruning Rate
BLS-SeTa
Backbone=R50
2026.04
80.7
40.7
Full
Backbone=R50
2026.04
80.6
-
BLS-InfoBatch
Backbone=R50
2026.04
80.5
38.6
BLS-SeTa
Backbone=R18
2026.04
78.4
40.1
BLS-InfoBatch
Backbone=R18
2026.04
78.3
33.9
Full
Backbone=R18
2026.04
78.2
-
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