5-way Few-shot Classification on Dogs
82.06AccuracyHMDRN
Evaluation Results
| Method | Links | |
|---|---|---|
| HMDRNN-shot=5-shot, Backbone=Conv-42025.06 | 82.06 | |
| BiFRNN-shot=5-shot, Backbone=Conv-42025.06 | 81.29 | |
| C2-NetN-shot=5-shot, Backbone=Conv-42025.06 | 81.23 | |
| FRN+TDMN-shot=5-shot, Backbone=Conv-42025.06 | 79.59 | |
| FRNN-shot=5-shot, Backbone=Conv-42025.06 | 79.26 | |
| SRNetN-shot=5-shot, Backbone=Conv-42025.06 | 75.48 | |
| CTXN-shot=5-shot, Backbone=Conv-42025.06 | 73.59 | |
| VFDN-shot=5-shot, Backbone=Conv-42025.06 | 73 | |
| BSNet(D&C)N-shot=5-shot, Backbone=Conv-42025.06 | 71.9 | |
| MattMLN-shot=5-shot, Backbone=Conv-42025.06 | 71.34 | |
| ProtoNetN-shot=5-shot, Backbone=Conv-42025.06 | 70.77 | |
| DN4N-shot=5-shot, Backbone=Conv-42025.06 | 69.81 | |
| PARNN-shot=5-shot, Backbone=Conv-42025.06 | 68.06 | |
| DLGN-shot=5-shot, Backbone=Conv-42025.06 | 67.07 | |
| HMDRNN-shot=1-shot, Backbone=Conv-42025.06 | 66.76 | |
| C2-NetN-shot=1-shot, Backbone=Conv-42025.06 | 66.42 | |
| RelationN-shot=5-shot, Backbone=Conv-42025.06 | 66.2 | |
| DeepEMDN-shot=5-shot, Backbone=Conv-42025.06 | 65.74 | |
| BiFRNN-shot=1-shot, Backbone=Conv-42025.06 | 64.74 | |
| FRN+TDMN-shot=1-shot, Backbone=Conv-42025.06 | 62.68 | |
| MixtFSLN-shot=5-shot, Backbone=Conv-42025.06 | 62.22 | |
| LRPABNN-shot=5-shot, Backbone=Conv-42025.06 | 60.94 | |
| FRNN-shot=1-shot, Backbone=Conv-42025.06 | 60.41 | |
| MatchingN-shot=5-shot, Backbone=Conv-42025.06 | 59.79 | |
| SAMLN-shot=5-shot, Backbone=Conv-42025.06 | 59.65 | |
| DSNN-shot=5-shot, Backbone=Conv-42025.06 | 59.42 | |
| CTXN-shot=1-shot, Backbone=Conv-42025.06 | 57.86 | |
| VFDN-shot=1-shot, Backbone=Conv-42025.06 | 57.03 | |
| SRNetN-shot=1-shot, Backbone=Conv-42025.06 | 56 | |
| PARNN-shot=1-shot, Backbone=Conv-42025.06 | 55.86 | |
| MattMLN-shot=1-shot, Backbone=Conv-42025.06 | 54.84 | |
| DLGN-shot=1-shot, Backbone=Conv-42025.06 | 47.77 | |
| RelationN-shot=1-shot, Backbone=Conv-42025.06 | 47.35 | |
| DeepEMDN-shot=1-shot, Backbone=Conv-42025.06 | 46.73 | |
| ProtoNetN-shot=1-shot, Backbone=Conv-42025.06 | 46.66 | |
| MatchingN-shot=1-shot, Backbone=Conv-42025.06 | 46.1 | |
| LRPABNN-shot=1-shot, Backbone=Conv-42025.06 | 45.72 | |
| MixtFSLN-shot=1-shot, Backbone=Conv-42025.06 | 45.61 | |
| SAMLN-shot=1-shot, Backbone=Conv-42025.06 | 45.46 | |
| DSNN-shot=1-shot, Backbone=Conv-42025.06 | 44.52 | |
| BSNet(D&C)N-shot=1-shot, Backbone=Conv-42025.06 | 43.42 | |
| DN4N-shot=1-shot, Backbone=Conv-42025.06 | 39.08 |