PEMnE-BMS

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 ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2021-10-18
79.15
best: 80.74 (TRIDENT)
SOTA
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning arXiv:2110.09446
Few-Shot Image ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2021-10-18
79.15
best: 80.74 (TRIDENT)
SOTA
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning arXiv:2110.09446