Designing Network Design Spaces

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Benchmark Model Rank Results
image-classification-on-imagenetRegNetY-8.0GF#691Top 1 Accuracy: 79.9%Number of params: 39.2MGFLOPs: 8
image-classification-on-imagenetRegNetY-4.0GF#714Top 1 Accuracy: 79.4%Number of params: 20.6MGFLOPs: 4
image-classification-on-imagenetRegNetY-1.6GF#804Top 1 Accuracy: 78%Number of params: 11.2MGFLOPs: 1.6
image-classification-on-imagenetRegNetY-800MF#861Top 1 Accuracy: 76.3%Number of params: 6.3MGFLOPs: 0.8
image-classification-on-imagenetRegNetY-600MF#885Top 1 Accuracy: 75.5%Number of params: 6.1MGFLOPs: 0.6
image-classification-on-imagenetRegNetY-400MF#918Top 1 Accuracy: 74.1%Number of params: 4.3MGFLOPs: 0.4

Rank counts only results with a code link.