PT+MAP+SF (transductive)

Reported on 2 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 Vision2 results

Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2021-05-11
95.48
best: 95.8 (PT+MAP+SF+SOT (transductive))
SOTA
Few-Shot Learning by Integrating Spatial and Frequency Representation arXiv:2105.05348
Few-Shot Image ClassificationonCUB 200 5-way 1-shot
Accuracy· 2021-05-11
95.48
best: 95.8 (PT+MAP+SF+SOT (transductive))
SOTA
Few-Shot Learning by Integrating Spatial and Frequency Representation arXiv:2105.05348