Image Classification on Pets (Acc, MB, TFLOPS)
91.6AccuracyBP
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| BPBackbone=ResNet34, # Layers=42025.09 | 91.6 | 49 | 0.12 | |
| ASIBackbone=ResNet34, # Layers=42025.09 | 91.41 | 2.05 | 0.07 | |
| BPBackbone=ResNet34, # Layers=22025.09 | 91.22 | 24.5 | 0.06 | |
| HOSVDBackbone=ResNet34, # Layers=42025.09 | 91.11 | 1.1 | 12.25 | |
| ASIBackbone=ResNet34, # Layers=22025.09 | 91.09 | 0.81 | 0.04 | |
| LANCEBackbone=ResNet34, # Layers=42025.09 | 90.92 | 1.05 | 0.06 | |
| HOSVDBackbone=ResNet34, # Layers=22025.09 | 90.89 | 0.48 | 6.12 | |
| LANCEBackbone=ResNet34, # Layers=22025.09 | 90.7 | 0.45 | 0.03 | |
| LANCEBackbone=MobileNetV2, # Layers=42025.09 | 90.4 | 0.19 | 0.01 | |
| BPBackbone=MobileNetV2, # Layers=42025.09 | 90.32 | 57.42 | 0.01 | |
| BPBackbone=MobileNetV2, # Layers=22025.09 | 89.94 | 30.62 | 0.01 | |
| HOSVDBackbone=MobileNetV2, # Layers=42025.09 | 89.91 | 0.23 | 22.86 | |
| LANCEBackbone=MobileNetV2, # Layers=22025.09 | 89.69 | 0.14 | 0.01 | |
| HOSVDBackbone=MobileNetV2, # Layers=22025.09 | 89.58 | 0.13 | 11.87 | |
| HOSVDBackbone=ResNet18, # Layers=22025.09 | 89.47 | 0.92 | 6.12 | |
| LANCEBackbone=ResNet18, # Layers=22025.09 | 89.26 | 0.94 | 0.03 | |
| BPBackbone=ResNet18, # Layers=22025.09 | 89.17 | 24.5 | 0.06 | |
| LANCEBackbone=ResNet18, # Layers=42025.09 | 89.12 | 1.78 | 0.05 | |
| BPBackbone=ResNet18, # Layers=42025.09 | 89.07 | 61.25 | 0.09 | |
| ASIBackbone=MobileNetV2, # Layers=42025.09 | 88.91 | 0.76 | 0.06 | |
| ASIBackbone=ResNet18, # Layers=22025.09 | 88.75 | 2.01 | 0.04 | |
| HOSVDBackbone=ResNet18, # Layers=42025.09 | 88.71 | 1.77 | 15.56 | |
| ASIBackbone=ResNet18, # Layers=42025.09 | 88.44 | 4.34 | 0.07 | |
| ASIBackbone=MobileNetV2, # Layers=22025.09 | 88.13 | 0.15 | 0.01 | |
| BPBackbone=MCUNet, # Layers=42025.09 | 60.01 | 17.57 | 0.001 | |
| LANCEBackbone=MCUNet, # Layers=42025.09 | 58.05 | 0.14 | 0 | |
| HOSVDBackbone=MCUNet, # Layers=42025.09 | 57.89 | 0.17 | 2.59 | |
| LANCEBackbone=MCUNet, # Layers=22025.09 | 57.26 | 0.06 | 0 | |
| BPBackbone=MCUNet, # Layers=22025.09 | 56.3 | 11.71 | 0 | |
| HOSVDBackbone=MCUNet, # Layers=22025.09 | 56.11 | 0.06 | 1.93 |