Few-shot classification on tiered meta-iNat (test)
92.4AccuracyMetaQDA
Evaluation Results
| Method | Links | |
|---|---|---|
| MetaQDAEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way2023.10 | 92.4 | |
| MetaOptEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way, Backbone frozen=true2023.10 | 91.9 | |
| CAMLEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way2023.10 | 91.6 | |
| P>M>FEvaluation protocol=In-Domain [Meta-Training], K-shot=5-shot, N-way=5-way, Backbone=ViT-base2023.10 | 89.9 | |
| ProtoNetEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way, Backbone frozen=true2023.10 | 89.5 | |
| GPICLEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way2023.10 | 87.6 | |
| SNAILEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way2023.10 | 86.5 | |
| ProtoNetEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way, Backbone frozen=false2023.10 | 82.2 | |
| CAMLEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way2023.10 | 81.9 | |
| SNAILEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way2023.10 | 77.3 | |
| MetaQDAEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way2023.10 | 76 | |
| MetaOptEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way, Backbone frozen=true2023.10 | 75.1 | |
| P>M>FEvaluation protocol=In-Domain [Meta-Training], K-shot=1-shot, N-way=5-way, Backbone=ViT-base2023.10 | 74.8 | |
| ProtoNetEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way, Backbone frozen=true2023.10 | 73.8 | |
| ProtoNetEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way, Backbone frozen=false2023.10 | 66.3 | |
| FRNK-shot=5-shot, Backbone=Conv-42022.07 | 63.45 | |
| MetaOptEvaluation protocol=Universal Meta-Learning, K-shot=5-shot, N-way=5-way, Backbone frozen=false2023.10 | 63 | |
| FRN + TDMK-shot=5-shot, Backbone=Conv-42022.07 | 62.91 | |
| CTX + TDMK-shot=5-shot, Backbone=Conv-42022.07 | 62.29 | |
| ProtoNet + TDMK-shot=5-shot, Backbone=Conv-42022.07 | 61.18 | |
| GPICLEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way2023.10 | 60.8 | |
| CTXK-shot=5-shot, Backbone=Conv-42022.07 | 60.54 | |
| DSN + TDMK-shot=5-shot, Backbone=Conv-42022.07 | 58.66 | |
| DSNK-shot=5-shot, Backbone=Conv-42022.07 | 58.34 | |
| ProtoNetK-shot=5-shot, Backbone=Conv-42022.07 | 57.6 | |
| FRN + TDMK-shot=1-shot, Backbone=Conv-42022.07 | 44.05 | |
| FRNK-shot=1-shot, Backbone=Conv-42022.07 | 43.95 | |
| CTX + TDMK-shot=1-shot, Backbone=Conv-42022.07 | 43.9 | |
| CTXK-shot=1-shot, Backbone=Conv-42022.07 | 42.24 | |
| DSN + TDMK-shot=1-shot, Backbone=Conv-42022.07 | 41 | |
| DSNK-shot=1-shot, Backbone=Conv-42022.07 | 40.83 | |
| ProtoNet + TDMK-shot=1-shot, Backbone=Conv-42022.07 | 38.3 | |
| MetaOptEvaluation protocol=Universal Meta-Learning, K-shot=1-shot, N-way=5-way, Backbone frozen=false2023.10 | 37.3 | |
| ProtoNetK-shot=1-shot, Backbone=Conv-42022.07 | 34.41 |