Image Classification on CIFAR100 (Accuracy, Memory, and Throughput)
77.5AccuracyBP
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| BPBackbone=ResNet34, # Layers=42025.09 | 77.5 | 49 | 0.12 | |
| BPBackbone=ResNet18, # Layers=42025.09 | 77.07 | 61.25 | 0.09 | |
| BPBackbone=ResNet34, # Layers=22025.09 | 76.19 | 24.5 | 0.06 | |
| HOSVDBackbone=ResNet34, # Layers=42025.09 | 76.01 | 0.95 | 12.25 | |
| LANCEBackbone=ResNet34, # Layers=42025.09 | 75.94 | 1.02 | 0.06 | |
| LANCEBackbone=ResNet18, # Layers=42025.09 | 75.7 | 1.16 | 0.05 | |
| BPBackbone=ResNet18, # Layers=22025.09 | 75.69 | 24.5 | 0.06 | |
| HOSVDBackbone=ResNet18, # Layers=42025.09 | 75.35 | 1.21 | 15.56 | |
| HOSVDBackbone=ResNet34, # Layers=22025.09 | 75.31 | 0.45 | 6.12 | |
| LANCEBackbone=ResNet34, # Layers=22025.09 | 74.89 | 0.51 | 0.03 | |
| BPBackbone=MobileNetV2, # Layers=42025.09 | 74.69 | 57.42 | 0.01 | |
| HOSVDBackbone=ResNet18, # Layers=22025.09 | 74.57 | 0.72 | 6.12 | |
| LANCEBackbone=ResNet18, # Layers=22025.09 | 74.09 | 0.77 | 0.03 | |
| BPBackbone=MobileNetV2, # Layers=22025.09 | 73.43 | 30.62 | 0.01 | |
| ASIBackbone=ResNet18, # Layers=42025.09 | 71.93 | 1.61 | 0.06 | |
| ASIBackbone=ResNet34, # Layers=42025.09 | 70.6 | 1 | 0.07 | |
| ASIBackbone=ResNet18, # Layers=22025.09 | 69.7 | 0.9 | 0.04 | |
| ASIBackbone=ResNet34, # Layers=22025.09 | 69.66 | 0.44 | 0.03 | |
| HOSVDBackbone=MobileNetV2, # Layers=42025.09 | 69.33 | 0.15 | 22.86 | |
| LANCEBackbone=MobileNetV2, # Layers=42025.09 | 68.79 | 0.17 | 0.01 | |
| HOSVDBackbone=MobileNetV2, # Layers=22025.09 | 67.28 | 0.14 | 11.87 | |
| ASIBackbone=MobileNetV2, # Layers=42025.09 | 66.18 | 0.63 | 0.06 | |
| ASIBackbone=MobileNetV2, # Layers=22025.09 | 61.03 | 0.15 | 0.01 | |
| LANCEBackbone=MobileNetV2, # Layers=22025.09 | 60.69 | 0.16 | 0.01 | |
| BPBackbone=MCUNet, # Layers=42025.09 | 58.38 | 17.57 | 0.001 | |
| LANCEBackbone=MCUNet, # Layers=42025.09 | 52.59 | 0.09 | 0 | |
| BPBackbone=MCUNet, # Layers=22025.09 | 52.47 | 11.71 | 0 | |
| HOSVDBackbone=MCUNet, # Layers=42025.09 | 52.34 | 0.1 | 2.59 | |
| HOSVDBackbone=MCUNet, # Layers=22025.09 | 48 | 0.05 | 1.93 | |
| LANCEBackbone=MCUNet, # Layers=22025.09 | 47.57 | 0.04 | 0 |