ZeroDiff

Reported on 6 benchmarks across 1 task · 1 paper · 6 SOTA

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

Methodology6 results

Zero-Shot LearningonCUB-200-2011
average top-1 classification accuracy· 2024-06-05
87.5
SOTA
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models arXiv:2406.02929
Zero-Shot LearningonAwA2
average top-1 classification accuracy· 2024-06-05
86.4
SOTA
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models arXiv:2406.02929
Zero-Shot LearningonSUN Attribute
average top-1 classification accuracy· 2024-06-05
77.3
SOTA
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models arXiv:2406.02929
Zero-Shot LearningonAwA2
Harmonic mean· 2024-06-05
79.5
SOTA
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models arXiv:2406.02929
Zero-Shot LearningonCUB-200-2011
Harmonic mean· 2024-06-05
81.6
SOTA
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models arXiv:2406.02929
Zero-Shot LearningonSUN Attribute
Harmonic mean· 2024-06-05
59.8
SOTA
Exploring Data Efficiency in Zero-Shot Learning with Diffusion Models arXiv:2406.02929