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Image Classification on ImageNet-1K (Top-1 Accuracy and Pruning Ratio)
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75.9
Top-1 Accuracy
Full Attention
59.468
63.734
68
72.266
Jun 27, 2024
Top-1 Accuracy
Pruning Ratio
Updated 4d ago
Evaluation Results
Method
Method
Links
Top-1 Accuracy
Pruning Ratio
Full Attention
Backbone=ViT-B
2024.06
75.9
0
Fibottention
Backbone=ViT-B
2024.06
75.5
98.01
Top-k Attention
Backbone=ViT-B
2024.06
73.4
98.48
Longformer
Backbone=ViT-B
2024.06
71.6
98.47
BigBird
Backbone=ViT-B
2024.06
71.5
97.96
Efficient Attention
Backbone=ViT-B
2024.06
70.1
97.98
Random Attention
Backbone=ViT-B
2024.06
68.7
98.52
Sparse Transformer
Backbone=ViT-B
2024.06
68.7
98.47
Linformer
Backbone=ViT-B
2024.06
60.1
97.96
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