f-CLSWGAN

Reported on 3 benchmarks across 1 task · 1 paper · 3 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology3 results

Zero-Shot LearningonCUB-200-2011
average top-1 classification accuracy· 2017-12-04
57.3
best: 87.5 (ZeroDiff)
SOTA
Feature Generating Networks for Zero-Shot Learning arXiv:1712.00981
Zero-Shot LearningonSUN Attribute
average top-1 classification accuracy· 2017-12-04
60.8
best: 77.3 (ZeroDiff)
SOTA
Feature Generating Networks for Zero-Shot Learning arXiv:1712.00981
Zero-Shot LearningonSUN Attribute
Harmonic mean· 2017-12-04
39.4
best: 59.8 (ZeroDiff)
SOTA
Feature Generating Networks for Zero-Shot Learning arXiv:1712.00981