MPN-COV

Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Computer Vision2 results

Image ClassificationonCUB-200-2011
Accuracy· 2017-12-04
88.7
best: 92.8 (PIM)
SOTA
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization arXiv:1712.01034
Fine-Grained Image ClassificationonCUB-200-2011
Accuracy· 2017-12-04
88.7
best: 92.8 (PIM)
SOTA
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization arXiv:1712.01034