Boosting Few-Shot Learning With Adaptive Margin Loss
Open paper
Benchmark
Model
Rank
Results
few-shot-image-classification-on-mini-imagenet-5-way-1-shot
TRAML
–
Accuracy: 67.10
few-shot-image-classification-on-mini-imagenet-5-way-5-shot
TRAML
–
Accuracy: 79.54
Rank counts only results with a code link.