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ResearchFormerly WizWand

Image Classification on ImageNet (ACR and Acc)

72.57AccuracyA3B2
37.865246.875155.88564.8949Oct 31, 2024Feb 1, 2025May 5, 2025Aug 6, 2025Nov 7, 2025Feb 8, 2026May 13, 2026
Updated 5mo ago

Evaluation results

MethodLinks
A3B2Backbone=ViT-B/16, Training Shots=16-shot2026.0572.57—
MMABackbone=ViT-B/16, Training Shots=16-shot2026.0572.45—
MMRLBackbone=ViT-B/16, Training Shots=16-shot2026.0572.1—
MMRL++Backbone=ViT-B/16, Training Shots=16-shot2026.0571.96—
MaPLeBackbone=ViT-B/16, Training Shots=16-shot2026.0571.91—
CoOpBackbone=ViT-B/16, Training Shots=16-shot2026.0571.3—
KgCoOpBackbone=ViT-B/16, Training Shots=16-shot2026.0571.12—
ARQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.32, Size=13.992024.1070.847.2
TCPBackbone=ViT-B/16, Training Shots=16-shot2026.0570.36—
FP 32Backbone=ResNet-50, Sigma (σ)=0.25, BOPs=4244.3, Size=97.292024.1069.448.8
HAWQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.56, Size=13.142024.1069.246.4
HAQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.56, Size=13.142024.106946
PACTBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.56, Size=13.142024.106946
LIMPQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.55, Size=13.082024.1068.645.8
NIPQBackbone=ResNet-50, Sigma (σ)=0.25, BOPs=63.56, Size=13.212024.1068.446
FP 32Backbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=308.24, Size=13.242024.106745.7
FP 32Backbone=ResNet-50, Sigma (σ)=0.50, BOPs=4244.3, Size=97.292024.1062.474.3
ARQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.60, Size=2.232024.106238.5
ARQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.50, Size=13.062024.1061.272.4
PACTBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.56, Size=13.142024.106171.5
HAQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=64.15, Size=13.352024.1060.871.5
HAWQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.56, Size=13.142024.1060.871.6
PACTBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.62, Size=2.272024.1060.237.6
NIPQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.56, Size=13.072024.1058.869.6
LIMPQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.62, Size=2.162024.1058.434.7
LIMPQBackbone=ResNet-50, Sigma (σ)=0.50, BOPs=63.55, Size=13.462024.1058.270
HAWQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.62, Size=2.272024.105835.8
FP 32Backbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=308.24, Size=13.242024.105766.8
NIPQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.62, Size=2.092024.1056.233.5
HAQBackbone=MobileNet-V2, Sigma (σ)=0.25, BOPs=4.60, Size=2.272024.105634.1
ARQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.60, Size=2.132024.105457.6
HAQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.60, Size=2.242024.1053.457.3
PACTBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.62, Size=2.272024.1052.456.4
HAWQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.62, Size=2.272024.1051.655.4
LIMPQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.62, Size=2.242024.1050.654
NIPQBackbone=MobileNet-V2, Sigma (σ)=0.50, BOPs=4.62, Size=2.292024.1050.254.2
ARQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.50, Size=12.702024.104691.6
FP 32Backbone=ResNet-50, Sigma (σ)=1.00, BOPs=4244.3, Size=97.292024.1045.491.4
PACTBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.56, Size=13.142024.1045.488.4
NIPQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.56, Size=12.962024.104588.5
HAQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.55, Size=11.932024.1044.888
HAWQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.56, Size=13.142024.1044.889.1
LIMPQBackbone=ResNet-50, Sigma (σ)=1.00, BOPs=63.55, Size=13.252024.1044.487.1
FP 32Backbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=308.24, Size=13.242024.1044.484.6
ARQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.60, Size=2.272024.1041.677.4
LIMPQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.62, Size=2.162024.1040.270.3
PACTBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.62, Size=2.272024.1040.275.7
HAWQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.62, Size=2.272024.104071.2
HAQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.61, Size=2.172024.1039.868.3
NIPQBackbone=MobileNet-V2, Sigma (σ)=1.00, BOPs=4.62, Size=2.112024.1039.269.4