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Benchmarks
Task-Incremental Learning on Stanford Cars
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79.92
Average Accuracy
Prompt
70.2896
72.7898
75.29
77.7902
Mar 11, 2026
Average Accuracy
Accuracy (4 Tasks)
Accuracy (7 Tasks)
Accuracy (14 Tasks)
Last Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Average Accuracy
Accuracy (4 Tasks)
Accuracy (7 Tasks)
Accuracy (14 Tasks)
Last Accuracy
Prompt
Backbone=ViT-B/16-IN21K
2026.03
79.92
-
-
-
80.74
CoRe
Backbone=ViT-B/16-IN21K
2026.03
79.41
-
-
-
80.4
SSF
Backbone=ViT-B/16-IN21K
2026.03
75.11
-
-
-
75.46
Adapter
Backbone=ViT-B/16-IN21K
2026.03
72.22
-
-
-
73.05
ViT
Backbone=ViT-B/16-IN21K
2026.03
72.15
-
-
-
72.89
Finetune
Backbone=ViT-B/16-IN21K
2026.03
70.66
-
-
-
69.63
EWC
2025.12
-
45.6
31.5
28.7
-
LWM
2025.12
-
45.9
41.6
30.5
-
LWF
2025.12
-
37.5
35.6
25
-
ICICLE
2025.12
-
65.4
64.5
58.3
-
CIP-Net
2025.12
-
86.2
92.1
92.5
-
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