MUXNet-l
Reported on 5 benchmarks across 3 tasks · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Methodology4 results
- Accuracy· 2020-03-3176.6best: 83.9 (DeepMAD-50M)
- Top-1 Error Rate· 2020-03-3123.4best: 16.1 (DeepMAD-50M)
Computer Vision1 result
- GFLOPs· 2020-03-310.636best: 1478 (InternImage-H)