Zero Shot Learning On Cub 200 2011
评估指标
average top-1 classification accuracy
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | average top-1 classification accuracy |
|---|---|
| zero-shot-classification-using | 65.6 |
| zero-shot-classification-using | 63.8 |
| label-propagation-for-zero-shot | - |
| exploring-data-efficiency-in-zero-shot | 87.5 |
| f-vaegan-d2-a-feature-generating-framework | 61.0 |
| compositional-fine-grained-low-shot-learning | 69.4 |
| latent-embedding-feedback-and-discriminative | 64.9 |
| feature-generating-networks-for-zero-shot | 57.3 |
| duet-cross-modal-semantic-grounding-for | 72.3 |
| label-propagation-for-zero-shot | - |
| leveraging-the-invariant-side-of-generative | 58.8 |
| synthetic-sample-selection-for-generalized | 62.9 |
| transferable-contrastive-network-for | 59.5 |
| multi-modal-cycle-consistent-generalized-zero | 58.6 |