Fine-Grained Visual Classification on CUB-200
91.8AccuracyCAP
Evaluation results
| Method | Links | |
|---|---|---|
| CAPTraining data setup=primary2021.01 | 91.8 | |
| CPMTraining data setup=primary + secondary2021.01 | 90.4 | |
| CPMTraining data setup=primary2021.01 | 90.3 | |
| BARMTraining data setup=primary2021.01 | 89.5 | |
| DANTraining data setup=primary2021.01 | 89.4 | |
| DSTLTraining data setup=primary + secondary2021.01 | 89.3 | |
| iSQRTTraining data setup=primary2021.01 | 88.7 | |
| NTS-Netk=4, Aggregation method=Concat2021.04 | 87.5 | |
| NTS-Netk=2, Aggregation method=Concat2021.04 | 87.3 | |
| NTS-Top-Kk=4, Aggregation method=Mean2021.04 | 86.7 | |
| MA-CNN2021.04 | 86.5 | |
| DT-RAM2021.04 | 86 | |
| NTS-Top-Kk=4, Aggregation method=Concat2021.04 | 85.9 | |
| NTS-Top-Kk=2, Aggregation method=Mean2021.04 | 85.8 | |
| Boost-CNN2021.04 | 85.6 | |
| RA-CNN2021.04 | 85.3 | |
| HIHCA2021.04 | 85.3 | |
| NTS-Top-Kk=2, Aggregation method=Concat2021.04 | 84.7 | |
| ResNet502021.04 | 84.5 | |
| FCAN2021.04 | 84.5 | |
| PDFR2021.04 | 84.5 | |
| Bilinear-CNN2021.04 | 84.1 | |
| Spatial Transformer2021.04 | 84.1 | |
| MG-CNN2021.04 | 81.7 |