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Benchmarks
Object Recognition on ModelNet40 20-shot
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86.83
Accuracy (20-shot)
MCFT
81.9212
83.1956
84.47
85.7444
Mar 24, 2026
Accuracy (20-shot)
Updated 23d ago
Evaluation Results
Method
Method
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Accuracy (20-shot)
MCFT
Backbone=Point-MAE
2026.03
86.83
MCFT
Backbone=Point-BERT
2026.03
86.68
PointGST
Backbone=Point-BERT
2026.03
85.17
PointGST
Backbone=Point-MAE
2026.03
84.91
IDPT
Backbone=Point-BERT
2026.03
84.43
DAPT
Backbone=Point-MAE
2026.03
84.4
IDPT
Backbone=Point-MAE
2026.03
83.91
DAPT
Backbone=Point-BERT
2026.03
83.87
Point-MAE
2026.03
83.78
Point-BERT
2026.03
82.11
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