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Benchmarks
Domain-Incremental Learning on CDDB Hard
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84.14
Avg Accuracy (A)
DUCT
50.7976
59.4538
68.11
76.7662
Oct 1, 2024
Avg Accuracy (A)
Last Accuracy (A_B)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Avg Accuracy (A)
Last Accuracy (A_B)
DUCT
Backbone=ViT-B/16-IN1K...
2024.10
84.14
85.1
RanPAC
Backbone=ViT-B/16-IN1K...
2024.10
78.92
80.48
CODA-Prompt
Backbone=ViT-B/16-IN1K...
2024.10
69.19
74.18
S-iPrompt
Backbone=ViT-B/16-IN1K...
2024.10
68.51
72.76
iCaRL
Backbone=ViT-B/16-IN1K...
2024.10
68.43
70.5
DualPrompt
Backbone=ViT-B/16-IN1K...
2024.10
68.33
71.41
EASE
Backbone=ViT-B/16-IN1K...
2024.10
67.78
64.96
L2P
Backbone=ViT-B/16-IN1K...
2024.10
67.33
64.45
Replay
Backbone=ViT-B/16-IN1K...
2024.10
66.91
63.21
MEMO
Backbone=ViT-B/16-IN1K...
2024.10
60.87
58.09
SimpleCIL
Backbone=ViT-B/16-IN1K...
2024.10
60.8
63.4
Finetune
Backbone=ViT-B/16-IN1K...
2024.10
52.08
50.11
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