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Benchmarks
Material Property Recognition on TAG (Touch-and-Go)
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80.1
Category Accuracy (top-1)
ViTaPEs
45.572
54.536
63.5
72.464
May 26, 2025
Category Accuracy (top-1)
Hardness Accuracy (top-1)
Texture Accuracy (top-1)
Updated 1mo ago
Evaluation Results
Method
Method
Links
Category Accuracy (top-1)
Hardness Accuracy (top-1)
Texture Accuracy (top-1)
ViTaPEs
Model Backbone=ViT, SS...
2025.05
80.1
94.8
89.7
VTT
Model Backbone=ViT, SS...
2025.05
77
90.6
84.7
ViTaPEs
Model Backbone=ViT, SS...
2025.05
75.9
92.2
87.2
RoPE
Model Backbone=ViT, SS...
2025.05
75.7
93.6
84.9
MViTac
Model Backbone=ResNet,...
2025.05
74.9
91.8
84.1
RoPE
Model Backbone=ViT, SS...
2025.05
73
89.5
84
VTT
Model Backbone=ViT, SS...
2025.05
72.4
88.2
83.3
SSVTP
Model Backbone=ResNet,...
2025.05
70.1
88.6
83.6
TAG
Model Backbone=ResNet,...
2025.05
54.7
77.3
79.4
Vanilla CNN
Model Backbone=ResNet,...
2025.05
46.9
72.3
76.3
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