MILe (ResNet-50)

Reported on 2 benchmarks across 1 task · 1 paper

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

Computer Vision2 results

Image ClassificationonWebVision-1000
ImageNet Top-1 Accuracy· 2021-11-23
67.1
best: 68.7 (MILe (ResNet-50-D))
Multi-label Iterated Learning for Image Classification with Label Ambiguity arXiv:2111.12172
Image ClassificationonWebVision-1000
ImageNet Top-5 Accuracy· 2021-11-23
85.6
best: 86.4 (MILe (ResNet-50-D))
Multi-label Iterated Learning for Image Classification with Label Ambiguity arXiv:2111.12172