SimpleShot (CL2N-DenseNet)

Reported on 4 benchmarks across 2 tasks · 1 paper

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 5-way (5-shot)
Accuracy· 2019-11-12
81.5
best: 98.72 (SgVA-CLIP)
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning arXiv:1911.04623
Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-11-12
64.29
best: 97.95 (SgVA-CLIP)
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning arXiv:1911.04623
Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
Accuracy· 2019-11-12
81.5
best: 98.72 (SgVA-CLIP)
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning arXiv:1911.04623
Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
Accuracy· 2019-11-12
64.29
best: 97.95 (SgVA-CLIP)
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning arXiv:1911.04623