Image Classification on ImageNet-100 70% Compression (test)
84.82Top-1 AccuracyOurLP-180
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| OurLP-180Backbone=ResNet-50, Epochs=180, Pruning Type=Layer Pruning2026.07 | 84.82 | -0.22 | 95.86 | 0.32 | |
| Our-180Backbone=ResNet-50, Epochs=1802026.07 | 84.48 | 0.12 | 95.66 | 0.52 | |
| Our-180Backbone=VGG-19, Epochs=1802026.07 | 84.14 | 1.1 | 95.9 | 0.26 | |
| Our-90Backbone=ResNet-50, Epochs=902026.07 | 83.58 | 1.02 | 95.12 | 1.06 | |
| PGMPFBackbone=ResNet-502026.07 | 83.5 | 1.1 | 95.54 | 0.64 | |
| SFPBackbone=ResNet-502026.07 | 82.38 | 2.22 | 94.92 | 1.26 | |
| OurLP-90Backbone=ResNet-50, Epochs=90, Pruning Type=Layer Pruning2026.07 | 82.12 | 2.48 | 95.26 | 0.92 | |
| FPGMBackbone=ResNet-502026.07 | 81.96 | 2.64 | 95.12 | 1.06 | |
| Our-90Backbone=VGG-19, Epochs=902026.07 | 81.88 | 3.36 | 94.86 | 1.3 | |
| OurLP-90Backbone=VGG-19, Epochs=90, Pruning Type=Layer Pruning2026.07 | 81.72 | 3.52 | 94.92 | 1.24 | |
| PGMPFBackbone=VGG-192026.07 | 80.58 | 4.66 | 94.1 | 2.06 | |
| NSBackbone=ResNet-502026.07 | 80.18 | 4.42 | 94.28 | 1.9 | |
| Our-180Backbone=GoogLeNet, Epochs=1802026.07 | 79.2 | 6.12 | 94.28 | 2.1 | |
| SFPBackbone=VGG-192026.07 | 79.14 | 6.1 | 93.5 | 2.66 | |
| PGMPFBackbone=GoogLeNet2026.07 | 78.94 | 6.38 | 94.24 | 2.14 | |
| NSBackbone=VGG-192026.07 | 78.88 | 6.36 | 93.5 | 2.66 | |
| OTO-90Backbone=GoogLeNet, Epochs=902026.07 | 78.56 | 6.76 | 93.94 | 2.44 | |
| FPGMBackbone=GoogLeNet2026.07 | 77.48 | 7.84 | 92.94 | 3.44 | |
| SFPBackbone=GoogLeNet2026.07 | 77.3 | 8.02 | 93.24 | 3.14 | |
| Our-90Backbone=GoogLeNet, Epochs=902026.07 | 77.28 | 8.04 | 93.34 | 3.04 | |
| FPGMBackbone=VGG-192026.07 | 76.4 | 8.84 | 92.1 | 4.06 |