Animal Identification on 3D-POP Epoch 10 (Sequence19)
99.8AccuracyBCE
Evaluation Results
| Method | Links | |
|---|---|---|
| BCENetwork=ResNet18, Train MLP Only=false, Memory Per Batch (GB)=1.044 ± 0.0002026.01 | 99.8 | |
| Supcon*Network=ResNet18, Train MLP Only=false, Memory Per Batch (GB)=1.043 ± 0.0022026.01 | 99.5 | |
| BCENetwork=EfficientNet-B0, Train MLP Only=false, Memory Per Batch (GB)=3.441 ± 0.0002026.01 | 99.3 | |
| BCENetwork=EfficientNet-B0, Train MLP Only=true, Memory Per Batch (GB)=0.521 ± 0.0002026.01 | 93.9 | |
| BCENetwork=ResNet18, Train MLP Only=true, Memory Per Batch (GB)=0.418 ± 0.0002026.01 | 89.8 | |
| Supcon*Network=ResNet18, Train MLP Only=true, Memory Per Batch (GB)=0.418 ± 0.0002026.01 | 85.4 | |
| BCENetwork=ConvNextV2, Train MLP Only=true, Memory Per Batch (GB)=0.696 ± 0.0002026.01 | 84.7 | |
| Supcon*Network=ConvNextV2, Train MLP Only=true, Memory Per Batch (GB)=0.696 ± 0.0002026.01 | 82.3 | |
| SupconNetwork=ResNet18, Train MLP Only=false, Memory Per Batch (GB)=1.044 ± 0.0012026.01 | 78.7 | |
| SupconNetwork=ConvNextV2, Train MLP Only=true, Memory Per Batch (GB)=0.696 ± 0.0002026.01 | 74.7 | |
| SupconNetwork=ResNet18, Train MLP Only=true, Memory Per Batch (GB)=0.418 ± 0.0002026.01 | 71.6 | |
| SimCLRNetwork=ResNet18, Train MLP Only=false, Memory Per Batch (GB)=10.872 ± 0.0012026.01 | 29.9 | |
| MoCoNetwork=ResNet18, Train MLP Only=false, Memory Per Batch (GB)=7.367 ± 0.0062026.01 | 24.5 |