Scene Recognition on MIT-67 (test)
88.731AccuracyCSRRM
Evaluation Results
| Method | Links | |
|---|---|---|
| CSRRM2023.05 | 88.731 | |
| ARG-Net2023.05 | 88.13 | |
| MR-Net2023.05 | 88.08 | |
| SAS-Net2023.05 | 87.1 | |
| MP2023.05 | 86.9 | |
| SDO2023.05 | 86.76 | |
| NNSD+ICLC2023.05 | 84.3 | |
| DAG-CNN2023.05 | 83.75 | |
| Multi-Scale CNNArchitecture=Multi-Scale2023.05 | 80.97 | |
| Dual CNN-DL2023.05 | 76.56 | |
| Places365+VGGNet16Pre-training=Places365, Backbone=VGGNet162023.05 | 76.53 | |
| DeepScene-Net2023.05 | 71 | |
| Recognition Indoor Scene2023.05 | 27 |