Image Classification on ImageNet (ACR and Acc)
72.57AccuracyA3B2
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| A3B2Backbone=ViT-B/16, Training Shots=16-shot2026.05 | 72.57 | — | |
| MMABackbone=ViT-B/16, Training Shots=16-shot2026.05 | 72.45 | — | |
| MMRLBackbone=ViT-B/16, Training Shots=16-shot2026.05 | 72.1 | — | |
| MMRL++Backbone=ViT-B/16, Training Shots=16-shot2026.05 | 71.96 | — | |
| MaPLeBackbone=ViT-B/16, Training Shots=16-shot2026.05 | 71.91 | — | |
| CoOpBackbone=ViT-B/16, Training Shots=16-shot2026.05 | 71.3 | — | |
| KgCoOpBackbone=ViT-B/16, Training Shots=16-shot2026.05 | 71.12 | — | |
| ARQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.32, Size=13.992024.10 | 70.8 | 47.2 | |
| TCPBackbone=ViT-B/16, Training Shots=16-shot2026.05 | 70.36 | — | |
| FP 32Backbone=ResNet-50, Sigma (σ)=0.25, BOPs=4244.3, Size=97.292024.10 | 69.4 | 48.8 | |
| HAWQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.56, Size=13.142024.10 | 69.2 | 46.4 | |
| HAQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.56, Size=13.142024.10 | 69 | 46 | |
| PACTBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.56, Size=13.142024.10 | 69 | 46 | |
| LIMPQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.55, Size=13.082024.10 | 68.6 | 45.8 | |
| NIPQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.56, Size=13.212024.10 | 68.4 | 46 | |
| FP 32Backbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=308.24, Size=13.242024.10 | 67 | 45.7 | |
| FP 32Backbone=ResNet-50, Sigma (σ)=0.50, BOPs=4244.3, Size=97.292024.10 | 62.4 | 74.3 | |
| ARQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.60, Size=2.232024.10 | 62 | 38.5 | |
| ARQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.50, Size=13.062024.10 | 61.2 | 72.4 | |
| PACTBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.56, Size=13.142024.10 | 61 | 71.5 | |
| HAQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=64.15, Size=13.352024.10 | 60.8 | 71.5 | |
| HAWQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.56, Size=13.142024.10 | 60.8 | 71.6 | |
| PACTBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.62, Size=2.272024.10 | 60.2 | 37.6 | |
| NIPQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.56, Size=13.072024.10 | 58.8 | 69.6 | |
| LIMPQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.62, Size=2.162024.10 | 58.4 | 34.7 | |
| LIMPQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.55, Size=13.462024.10 | 58.2 | 70 | |
| HAWQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.62, Size=2.272024.10 | 58 | 35.8 | |
| FP 32Backbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=308.24, Size=13.242024.10 | 57 | 66.8 | |
| NIPQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.62, Size=2.092024.10 | 56.2 | 33.5 | |
| HAQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.60, Size=2.272024.10 | 56 | 34.1 | |
| ARQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.60, Size=2.132024.10 | 54 | 57.6 | |
| HAQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.60, Size=2.242024.10 | 53.4 | 57.3 | |
| PACTBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.62, Size=2.272024.10 | 52.4 | 56.4 | |
| HAWQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.62, Size=2.272024.10 | 51.6 | 55.4 | |
| LIMPQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.62, Size=2.242024.10 | 50.6 | 54 | |
| NIPQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.62, Size=2.292024.10 | 50.2 | 54.2 | |
| ARQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.50, Size=12.702024.10 | 46 | 91.6 | |
| FP 32Backbone=ResNet-50, Sigma (σ)=1.00, BOPs=4244.3, Size=97.292024.10 | 45.4 | 91.4 | |
| PACTBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.56, Size=13.142024.10 | 45.4 | 88.4 | |
| NIPQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.56, Size=12.962024.10 | 45 | 88.5 | |
| HAQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.55, Size=11.932024.10 | 44.8 | 88 | |
| HAWQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.56, Size=13.142024.10 | 44.8 | 89.1 | |
| LIMPQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.55, Size=13.252024.10 | 44.4 | 87.1 | |
| FP 32Backbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=308.24, Size=13.242024.10 | 44.4 | 84.6 | |
| ARQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.60, Size=2.272024.10 | 41.6 | 77.4 | |
| LIMPQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.62, Size=2.162024.10 | 40.2 | 70.3 | |
| PACTBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.62, Size=2.272024.10 | 40.2 | 75.7 | |
| HAWQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.62, Size=2.272024.10 | 40 | 71.2 | |
| HAQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.61, Size=2.172024.10 | 39.8 | 68.3 | |
| NIPQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.62, Size=2.112024.10 | 39.2 | 69.4 |