Multi-label Few-Shot Learning on FewAsp single (test)
97.96AUCProto-AWATT
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Proto-AWATTN-way=5, K-shot=102021.05 | 97.96 | 88.54 | |
| Proto-HATTN-way=5, K-shot=102021.05 | 97.62 | 86.71 | |
| Proto-AWATTN-way=5, K-shot=52021.05 | 97.56 | 86.71 | |
| Proto-AWATTN-way=10, K-shot=102021.05 | 97.55 | 82.97 | |
| Prototypical NetworkN-way=5, K-shot=102021.05 | 97.53 | 86.29 | |
| Matching NetworkN-way=5, K-shot=102021.05 | 97.49 | 84.62 | |
| IMPN-way=5, K-shot=102021.05 | 97.47 | 86.14 | |
| Graph NetworkN-way=5, K-shot=102021.05 | 97.46 | 85.04 | |
| Matching NetworkN-way=5, K-shot=52021.05 | 97.05 | 81.89 | |
| Proto-AWATTN-way=10, K-shot=52021.05 | 97.01 | 80.28 | |
| Proto-HATTN-way=10, K-shot=102021.05 | 97 | 77.65 | |
| Graph NetworkN-way=10, K-shot=102021.05 | 96.97 | 77.84 | |
| IMPN-way=10, K-shot=102021.05 | 96.91 | 77.09 | |
| Matching NetworkN-way=10, K-shot=102021.05 | 96.72 | 73.28 | |
| Prototypical NetworkN-way=10, K-shot=102021.05 | 96.71 | 76.83 | |
| IMPN-way=5, K-shot=52021.05 | 96.65 | 83.69 | |
| Graph NetworkN-way=5, K-shot=52021.05 | 96.54 | 81.45 | |
| Prototypical NetworkN-way=5, K-shot=52021.05 | 96.49 | 83.3 | |
| Proto-HATTN-way=5, K-shot=52021.05 | 96.45 | 83.33 | |
| Matching NetworkN-way=10, K-shot=52021.05 | 96.3 | 70.95 | |
| IMPN-way=10, K-shot=52021.05 | 96 | 73.8 | |
| Prototypical NetworkN-way=10, K-shot=52021.05 | 95.97 | 74.23 | |
| Proto-HATTN-way=10, K-shot=52021.05 | 95.71 | 73.42 | |
| Graph NetworkN-way=10, K-shot=52021.05 | 95.45 | 70.75 | |
| Relation NetworkN-way=5, K-shot=52021.05 | 93.31 | 75.79 | |
| Relation NetworkN-way=10, K-shot=52021.05 | 91.81 | 63.78 | |
| Relation NetworkN-way=5, K-shot=102021.05 | 90.86 | 72.02 | |
| Relation NetworkN-way=10, K-shot=102021.05 | 90.54 | 61.15 |