Image Classification on ImageNet-1K 1.0 (val) (Relative Performance Change)
-50ΔFLOPs (%)GTP-8.8
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| GTP-8.8Backbone=DeiT-B/162025.09 | -50 | 0 | -3.5 | |
| BALF-P-0.6Backbone=DeiT-B/16, Compression Objective=Parameters, Constraint Level=0.62025.09 | -38.71 | -39.87 | -4.31 | |
| BALF-F-0.6Backbone=DeiT-B/16, Compression Objective=FLOPs, Constraint Level=0.62025.09 | -38.37 | -39.52 | -4.1 | |
| BALF-P-0.7Backbone=DeiT-B/16, Compression Objective=Parameters, Constraint Level=0.72025.09 | -29.04 | -29.91 | -1.34 | |
| BALF-F-0.7Backbone=DeiT-B/16, Compression Objective=FLOPs, Constraint Level=0.72025.09 | -28.78 | -29.64 | -1.25 | |
| BALF-P-0.8Backbone=DeiT-B/16, Compression Objective=Parameters, Constraint Level=0.82025.09 | -19.36 | -19.94 | -0.17 | |
| BALF-F-0.8Backbone=DeiT-B/16, Compression Objective=FLOPs, Constraint Level=0.82025.09 | -19.22 | -19.79 | -0.19 | |
| PRACTISEBackbone=DeiT-B/162025.09 | -16.6 | — | -2.5 | |
| DC-ViTBackbone=DeiT-B/162025.09 | -16.6 | — | -0.54 | |
| GTP-15.3Backbone=DeiT-B/162025.09 | -13.07 | 0 | 0 |