Fine-grained Image Classification on Oxford Flowers
97.7AccuracyMCLoss
Evaluation results
| Method | Links | |
|---|---|---|
| MCLossTransfer/joint learning strategy=true2021.01 | 97.7 | |
| Context-aware Attentional Pooling2021.01 | 97.7 | |
| CAPTraining data setup=primary2021.01 | 97.7 | |
| MC LossTraining data setup=primary + secondary2021.01 | 97.7 | |
| DSTLTransfer/joint learning strategy=true2021.01 | 97.6 | |
| OPAMTransfer/joint learning strategy=true2021.01 | 97.1 | |
| ConvNeXt-TinyBackbone=ConvNeXt-Tiny2026.02 | 97.1 | |
| SJFTTransfer/joint learning strategy=true2021.01 | 97 | |
| ProtoQuantBackbone=ConvNeXt-Tiny2026.02 | 97 | |
| InterAct2021.01 | 96.4 | |
| InterActTraining data setup=primary2021.01 | 96.4 | |
| DeiT-SmallBackbone=DeiT-Small2026.02 | 96.4 | |
| ProtoQuantBackbone=ResNet-502026.02 | 95.4 | |
| ProtoQuantBackbone=DeiT-Small2026.02 | 95.01 | |
| LUCID PPNBackbone=ConvNeXt-Tiny2026.02 | 95 | |
| ResNet-50Backbone=ResNet-502026.02 | 92.8 | |
| PIP-NETBackbone=ConvNeXt-Tiny2026.02 | 91.8 | |
| BSConv-S MobileNetV3-smallWidth Multiplier=x1.02020.03 | 75.6 | |
| BSConv-S MobileNetV3-largeWidth Multiplier=x0.752020.03 | 75.1 | |
| BSConv-S MobileNetV3-smallWidth Multiplier=x0.752020.03 | 74.3 | |
| BSConv-S MobileNetV3-largeWidth Multiplier=x1.02020.03 | 73.8 | |
| BSConv-S MobileNetV3-smallWidth Multiplier=x0.52020.03 | 71.7 | |
| BSConv-U MobileNetV1Width Multiplier=x0.52020.03 | 71.5 | |
| BSConv-S MobileNetV2Width Multiplier=x0.752020.03 | 71.5 | |
| BSConv-U MobileNetV1Width Multiplier=x0.752020.03 | 70.8 | |
| BSConv-S MobileNetV3-largeWidth Multiplier=x0.352020.03 | 69.4 | |
| MobileNetV3-smallWidth Multiplier=x1.02020.03 | 68.4 | |
| BSConv-U MobileNetV1Width Multiplier=x0.252020.03 | 68 | |
| BSConv-U MobileNetV1Width Multiplier=x1.02020.03 | 67.3 | |
| BSConv-S MobileNetV2Width Multiplier=x1.02020.03 | 67 | |
| BSConv-S MobileNetV3-largeWidth Multiplier=x0.52020.03 | 66.8 | |
| BSConv-S MobileNetV3-smallWidth Multiplier=x0.352020.03 | 66.5 | |
| MobileNetV3-smallWidth Multiplier=x0.752020.03 | 66.3 | |
| MobileNetV3-largeWidth Multiplier=x0.52020.03 | 65.7 | |
| MobileNetV3-largeWidth Multiplier=x1.02020.03 | 64.4 | |
| MobileNetV3-smallWidth Multiplier=x0.52020.03 | 64 | |
| MobileNetV1Width Multiplier=x0.52020.03 | 63.1 | |
| MobileNetV1Width Multiplier=x0.752020.03 | 63.1 | |
| MobileNetV3-largeWidth Multiplier=x0.752020.03 | 63.1 | |
| MobileNetV2Width Multiplier=x1.02020.03 | 61.3 | |
| BSConv-S MobileNetV2Width Multiplier=x0.52020.03 | 60.6 | |
| MobileNetV1Width Multiplier=x1.02020.03 | 60.2 | |
| MobileNetV1Width Multiplier=x0.252020.03 | 59.2 | |
| MobileNetV2Width Multiplier=x0.52020.03 | 57.6 | |
| MobileNetV3-smallWidth Multiplier=x0.352020.03 | 56.9 | |
| MobileNetV2Width Multiplier=x0.752020.03 | 55.7 | |
| MobileNetV3-largeWidth Multiplier=x0.352020.03 | 55.7 | |
| BSConv-S MobileNetV2Width Multiplier=x0.252020.03 | 51.9 | |
| MobileNetV2Width Multiplier=x0.252020.03 | 44.9 |