Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification

Benchmark Model Rank Results
few-shot-image-classification-on-cifar-fs-5BAVARDAGEAccuracy: 87.35
few-shot-image-classification-on-cifar-fs-5-1BAVARDAGEAccuracy: 90.63
few-shot-image-classification-on-cub-200-5BAVARDAGEAccuracy: 93.50
few-shot-image-classification-on-cub-200-5-1BAVARDAGEAccuracy: 90.42
few-shot-image-classification-on-dirichletBAVARDAGE1:1 Accuracy: 71.0
few-shot-image-classification-on-dirichlet-1BAVARDAGE1:1 Accuracy: 83.6
few-shot-image-classification-on-dirichlet-2BAVARDAGE1:1 Accuracy: 76.6
few-shot-image-classification-on-dirichlet-3BAVARDAGE1:1 Accuracy: 86.5
few-shot-image-classification-on-dirichlet-4BAVARDAGE1:1 Accuracy: 82.0
few-shot-image-classification-on-dirichlet-5BAVARDAGE1:1 Accuracy: 90.7
few-shot-image-classification-on-fc100-5-wayBAVARDAGEAccuracy: 57.27
few-shot-image-classification-on-fc100-5-way-1BAVARDAGEAccuracy: 70.60
few-shot-image-classification-on-mini-2BAVARDAGEAccuracy: 84.80
few-shot-image-classification-on-mini-3BAVARDAGEAccuracy: 91.65
few-shot-image-classification-on-tieredBAVARDAGEAccuracy: 85.20
few-shot-image-classification-on-tiered-1BAVARDAGEAccuracy: 90.41