Image Classification on ImageNet-100 50% Compression (test)
87.18Top-1 AccuracyOur-180
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Our-180Backbone=VGG-19, Epochs=1802026.07 | 87.18 | -1.94 | 97.04 | -0.88 | |
| OTO-180Backbone=VGG-19, Epochs=1802026.07 | 86.08 | -0.84 | 96.48 | -0.32 | |
| OurLP-180Backbone=ResNet-50, Epochs=180, Pruning Type=Layer Pruning2026.07 | 85.78 | -1.18 | 96.4 | -0.22 | |
| Our-180Backbone=ResNet-50, Epochs=1802026.07 | 85.74 | -1.14 | 96.32 | -0.14 | |
| Our-180Backbone=GoogLeNet, Epochs=1802026.07 | 84.48 | 0.84 | 95.92 | 0.46 | |
| PGMPFBackbone=ResNet-502026.07 | 84.18 | 0.42 | 95.6 | 0.58 | |
| Our-90Backbone=VGG-19, Epochs=902026.07 | 84.06 | 1.18 | 95.52 | 0.64 | |
| PGMPFBackbone=VGG-192026.07 | 83.6 | 1.64 | 95.14 | 1.02 | |
| FPGMBackbone=ResNet-502026.07 | 83.54 | 1.06 | 95.58 | 0.6 | |
| FPGMBackbone=VGG-192026.07 | 83.46 | 1.78 | 95.48 | 0.68 | |
| Our-90Backbone=ResNet-50, Epochs=902026.07 | 83.42 | 1.18 | 95.7 | 0.48 | |
| OurLP-90Backbone=ResNet-50, Epochs=90, Pruning Type=Layer Pruning2026.07 | 82.94 | 1.66 | 95.42 | 0.76 | |
| Our-90Backbone=GoogLeNet, Epochs=902026.07 | 82.86 | 2.46 | 95.44 | 0.94 | |
| SFPBackbone=ResNet-502026.07 | 82.84 | 1.76 | 95.1 | 1.08 | |
| PGMPFBackbone=GoogLeNet2026.07 | 82.84 | 2.48 | 95.4 | 0.98 | |
| SFPBackbone=VGG-192026.07 | 82.82 | 2.42 | 95.34 | 0.82 | |
| FPGMBackbone=GoogLeNet2026.07 | 82.72 | 2.6 | 95.46 | 0.92 | |
| NSBackbone=VGG-192026.07 | 82.66 | 2.58 | 94.8 | 1.36 | |
| NSBackbone=ResNet-502026.07 | 82.56 | 2.04 | 95.08 | 1.1 | |
| OTO-90Backbone=GoogLeNet, Epochs=902026.07 | 82.16 | 3.16 | 95.38 | 1 | |
| SFPBackbone=GoogLeNet2026.07 | 81.82 | 3.5 | 95.1 | 1.28 | |
| NSBackbone=GoogLeNet2026.07 | 81.58 | 3.74 | 95.02 | 1.36 |