Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
Open paper
Benchmark
Model
Rank
Results
few-shot-image-classification-on-meta-dataset
SMAT (DINO-VIT-Base-16-224)
#1
Accuracy: 85.27
Rank counts only results with a code link.