Fine-grained Image Classification on iNaturalist 2021 (test)
93.6AccuracyMetaFormer-2
Evaluation results
| Method | Links | |
|---|---|---|
| MetaFormer-2Backbone=MetaFormer-2, Pre-training=ImageNet-21k, Image size=384, Meta method=Transformer2022.03 | 93.6 | |
| MetaFormer-1Backbone=MetaFormer-1, Pre-training=ImageNet-1k, Image size=384, Meta method=Transformer2022.03 | 93.4 | |
| MetaFormer-2Backbone=MetaFormer-2, Pre-training=ImageNet-1k, Image size=384, Meta method=Transformer2022.03 | 93.2 | |
| MetaFormer-0Backbone=MetaFormer-0, Pre-training=ImageNet-1k, Image size=384, Meta method=Transformer2022.03 | 92.6 | |
| MetaFormer-2Backbone=MetaFormer-2, Pre-training=ImageNet-21k, Image size=384, Meta method=Image-Only2022.03 | 90.3 | |
| MetaFormer-1Backbone=MetaFormer-1, Pre-training=ImageNet-1k, Image size=384, Meta method=Image-Only2022.03 | 90.2 | |
| MetaFormer-2Backbone=MetaFormer-2, Pre-training=ImageNet-1k, Image size=384, Meta method=Image-Only2022.03 | 89.8 | |
| MetaFormer-0Backbone=MetaFormer-0, Pre-training=ImageNet-1k, Image size=384, Meta method=Image-Only2022.03 | 88.4 |