Vision GNN: An Image is Worth Graph of Nodes

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Benchmark Model Rank Results
image-classification-on-imagenetPyramid ViG-B#426Top 1 Accuracy: 83.7%Number of params: 92.6MGFLOPs: 16.8
image-classification-on-imagenetPyramid ViG-M#498Top 1 Accuracy: 83.1%Number of params: 51.7MGFLOPs: 8.9
image-classification-on-imagenetPyramid ViG-S#612Top 1 Accuracy: 82.1%Number of params: 27.3MGFLOPs: 4.6
image-classification-on-imagenetPyramid ViG-Ti#885Top 1 Accuracy: 78.2%Number of params: 10.7MGFLOPs: 1.7

Rank counts only results with a code link.