Baseline++ (Chen et al., 2019)

Reported on 4 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 Vision4 results

Image ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2019-04-08
62.04
best: 80.74 (TRIDENT)
SOTA
A Closer Look at Few-shot Classification arXiv:1904.04232
Few-Shot Image ClassificationonMini-ImageNet-CUB 5-way (5-shot)
Accuracy· 2019-04-08
62.04
best: 80.74 (TRIDENT)
SOTA
A Closer Look at Few-shot Classification arXiv:1904.04232
Image ClassificationonMini-ImageNet-CUB 5-way (1-shot)
Accuracy· 2019-04-08
33.04
best: 84.61 (TRIDENT)
A Closer Look at Few-shot Classification arXiv:1904.04232
Few-Shot Image ClassificationonMini-ImageNet-CUB 5-way (1-shot)
Accuracy· 2019-04-08
33.04
best: 84.61 (TRIDENT)
A Closer Look at Few-shot Classification arXiv:1904.04232