Table 2 Top-5 accuracy for different models on AWA2, ImageNet50 and ImageNet100. Significant values are in [bold].
From: Transductive zero-shot learning via knowledge graph and graph convolutional networks
AWA2 | ImageNet50 | ImageNet100 | |||||||
|---|---|---|---|---|---|---|---|---|---|
Seen | Unseen | H | Seen | Unseen | H | Seen | Unseen | H | |
GCNZ | 67.19 | 33.34 | 44.57 | 95.33 | 20.92 | 34.31 | 85.37 | 16.06 | 27.03 |
SGCN | 94.03 | 36.74 | 52.84 | 96.80 | 25.38 | 40.22 | 92.18 | 17.30 | 29.13 |
DGP | 94.20 | 36.78 | 52.9 | 96.76 | 23.91 | 38.34 | 92.15 | 15.95 | 27.19 |
TGCNZ | 64.59 | 41.19 | 50.75 | 94.39 | 26.87 | 41.83 | 85.89 | 18.72 | 30.74 |
