MACNN

Reported on 6 benchmarks across 2 tasks

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

Computer Vision6 results

Image ClassificationonFGVC Aircraft
Accuracy
89.9
best: 95.4 (SR-GNN)
Image ClassificationonStanford Cars
Accuracy
92.8
best: 96.868 (efficient adaptive ensembling)
Image ClassificationonCUB-200-2011
Accuracy
86.5
best: 92.8 (PIM)
Fine-Grained Image ClassificationonFGVC Aircraft
Accuracy
89.9
best: 95.4 (SR-GNN)
Fine-Grained Image ClassificationonStanford Cars
Accuracy
92.8
best: 96.1 (SR-GNN)
Fine-Grained Image ClassificationonCUB-200-2011
Accuracy
86.5
best: 92.8 (PIM)