DGPPF-ResNet18

Reported on 3 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision3 results

Image ClassificationonCIFAR-10
Percentage correct
92.9
best: 99.5 (ViT-H/14)
Image ClassificationonImageNet
GFLOPs
0.2
best: 1478 (InternImage-H)
Image ClassificationonImageNet
Top 1 Accuracy
65.22
best: 88.3 (Unicom (ViT-L/14@336px) (Finetuned))