Image Classification on Plantae
72.91AccuracySupervised
Evaluation results
| Method | Links | |
|---|---|---|
| SupervisedBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 72.91 | |
| BYOL + PsCoBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 71.14 | |
| MoCo v2 + PsCoBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 69.17 | |
| PsCoN-way=5, K-shot=20, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 64.53 | |
| MoCo v2Backbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 61.36 | |
| BYOLBackbone=ResNet-50, Pre-trained=ImageNet, Shot=5-shot, Way=5-way, Number of tasks=6002023.03 | 56.86 | |
| MoCo v2N-way=5, K-shot=20, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 55.45 | |
| SimCLRN-way=5, K-shot=20, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 54.92 | |
| MAMLN-way=5, K-shot=20, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 54.86 | |
| ProtoNetsN-way=5, K-shot=20, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 54.29 | |
| SWAVN-way=5, K-shot=20, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 54.03 | |
| PsCoN-way=5, K-shot=5, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 52.72 | |
| MAMLN-way=5, K-shot=5, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 47.33 | |
| Meta-SVEBMN-way=5, K-shot=20, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 46.22 | |
| ProtoNetsN-way=5, K-shot=5, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 45.89 | |
| Meta-GMVAEN-way=5, K-shot=20, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 45.02 | |
| MoCo v2N-way=5, K-shot=5, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 43.97 | |
| SimCLRN-way=5, K-shot=5, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 43.42 | |
| SWAVN-way=5, K-shot=5, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 42.68 | |
| Meta-GMVAEN-way=5, K-shot=5, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 38.27 | |
| Meta-SVEBMN-way=5, K-shot=5, Backbone=Conv5, Pre-training Dataset=miniImageNet2023.03 | 38.12 | |
| SynerNetZero-shot=true2026.01 | 30.3 | |
| ZSNLZero-shot=true2026.01 | 26 | |
| TransCLIPZero-shot=true2026.01 | 16.5 | |
| OpenCLIPZero-shot=true2026.01 | 15.7 |