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ResearchFormerly WizWand

Image Classification on CIFAR100 (Accuracy, Memory, and Throughput)

77.5AccuracyBP
46.372854.453962.53570.6161Sep 25, 2025
Updated 7mo ago

Evaluation results

MethodLinks
BPBackbone=ResNet34, # Layers=42025.0977.5490.12
BPBackbone=ResNet18, # Layers=42025.0977.0761.250.09
BPBackbone=ResNet34, # Layers=22025.0976.1924.50.06
HOSVDBackbone=ResNet34, # Layers=42025.0976.010.9512.25
LANCEBackbone=ResNet34, # Layers=42025.0975.941.020.06
LANCEBackbone=ResNet18, # Layers=42025.0975.71.160.05
BPBackbone=ResNet18, # Layers=22025.0975.6924.50.06
HOSVDBackbone=ResNet18, # Layers=42025.0975.351.2115.56
HOSVDBackbone=ResNet34, # Layers=22025.0975.310.456.12
LANCEBackbone=ResNet34, # Layers=22025.0974.890.510.03
BPBackbone=MobileNetV2, # Layers=42025.0974.6957.420.01
HOSVDBackbone=ResNet18, # Layers=22025.0974.570.726.12
LANCEBackbone=ResNet18, # Layers=22025.0974.090.770.03
BPBackbone=MobileNetV2, # Layers=22025.0973.4330.620.01
ASIBackbone=ResNet18, # Layers=42025.0971.931.610.06
ASIBackbone=ResNet34, # Layers=42025.0970.610.07
ASIBackbone=ResNet18, # Layers=22025.0969.70.90.04
ASIBackbone=ResNet34, # Layers=22025.0969.660.440.03
HOSVDBackbone=MobileNetV2, # Layers=42025.0969.330.1522.86
LANCEBackbone=MobileNetV2, # Layers=42025.0968.790.170.01
HOSVDBackbone=MobileNetV2, # Layers=22025.0967.280.1411.87
ASIBackbone=MobileNetV2, # Layers=42025.0966.180.630.06
ASIBackbone=MobileNetV2, # Layers=22025.0961.030.150.01
LANCEBackbone=MobileNetV2, # Layers=22025.0960.690.160.01
BPBackbone=MCUNet, # Layers=42025.0958.3817.570.001
LANCEBackbone=MCUNet, # Layers=42025.0952.590.090
BPBackbone=MCUNet, # Layers=22025.0952.4711.710
HOSVDBackbone=MCUNet, # Layers=42025.0952.340.12.59
HOSVDBackbone=MCUNet, # Layers=22025.09480.051.93
LANCEBackbone=MCUNet, # Layers=22025.0947.570.040