Image Classification on Dogs-120 (test)
86.31Top-1 AccuracyC x S
Evaluation Results
| Method | Links | |
|---|---|---|
| C x SUsing training-set Examples (Ex)=true, Image level comparison (Img)=true, Patch level comparison (Patch)=false, Re-ranking (R)=true, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 86.31 | |
| CHM-CorrUsing training-set Examples (Ex)=true, Image level comparison (Img)=true, Patch level comparison (Patch)=true, Re-ranking (R)=true, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 85.59 | |
| EMD-CorrUsing training-set Examples (Ex)=true, Image level comparison (Img)=true, Patch level comparison (Patch)=true, Re-ranking (R)=true, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 85.57 | |
| k-NN + cosineUsing training-set Examples (Ex)=true, Image level comparison (Img)=true, Patch level comparison (Patch)=false, Re-ranking (R)=false, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 85.56 | |
| MGProtoUsing training-set Examples (Ex)=false, Image level comparison (Img)=false, Patch level comparison (Patch)=true, Re-ranking (R)=false, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 85.4 | |
| ST-ProtoPNetUsing training-set Examples (Ex)=false, Image level comparison (Img)=false, Patch level comparison (Patch)=true, Re-ranking (R)=false, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 84 | |
| TesNetUsing training-set Examples (Ex)=false, Image level comparison (Img)=false, Patch level comparison (Patch)=true, Re-ranking (R)=false, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 82.4 | |
| k-NN + SUsing training-set Examples (Ex)=true, Image level comparison (Img)=true, Patch level comparison (Patch)=false, Re-ranking (R)=false, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 82.33 | |
| Def-ProtoPNetUsing training-set Examples (Ex)=false, Image level comparison (Img)=false, Patch level comparison (Patch)=true, Re-ranking (R)=false, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 82.2 | |
| ProtoPNetUsing training-set Examples (Ex)=false, Image level comparison (Img)=false, Patch level comparison (Patch)=true, Re-ranking (R)=false, Backbone=ResNet-50, Pre-training=ImageNet2023.08 | 76.4 |