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Benchmarks
Multi-task Image Classification on Vision Tasks Suite 14 tasks (ViT-B/32, test)
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90.9
Accuracy
Individual
55.852
64.951
74.05
83.149
Jun 25, 2026
Accuracy
Normalized Accuracy
Updated 29d ago
Evaluation Results
Method
Method
Links
Accuracy
Normalized Accuracy
Individual
Backbone=ViT-B/32
2026.06
90.9
-
ReTeX
Backbone=ViT-B/32
2026.06
89.8
98.8
MoW-Merging
Backbone=ViT-B/32
2026.06
83.2
91.5
WEMoE
Backbone=ViT-B/32
2026.06
83.1
90.7
DaWin
Backbone=ViT-B/32
2026.06
73.8
80.3
AdaMerging
Backbone=ViT-B/32
2026.06
70.5
77.3
Consensus TA
Backbone=ViT-B/32
2026.06
70.4
77.4
Twin-Merging
Backbone=ViT-B/32
2026.06
70
76.7
Task Arithmetic
Backbone=ViT-B/32
2026.06
65.3
72
TIES-Merging
Backbone=ViT-B/32
2026.06
65.1
71.9
Weight Averaging
Backbone=ViT-B/32
2026.06
64.3
71.1
Zero-shot
Backbone=ViT-B/32
2026.06
57.2
-
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