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Image Classification on CIFAR-10 standard (test)

94.89AccuracyDCQ
15.215635.900356.58577.2697Dec 5, 2021Aug 26, 2022May 17, 2023Feb 6, 2024Oct 27, 2024Jul 18, 2025Apr 9, 2026

Evaluation results

MethodLinks
DCQColor Bits=62026.0294.89—————
DCQColor Bits=52026.0294.39—————
DCQColor Bits=42026.0293.34—————
HSA-NRLNoise ratio=20%, Noise type=Symmetric2021.1292.3599.2392.4392.592.35—
DMNoise ratio=20%, Noise type=Symmetric2021.1291.7699.1891.7191.7691.76—
HSA-NRLNoise ratio=50%, Noise type=Symmetric2021.1291.3399.0791.3691.591.33—
SimCLRMostly local=false, Params=11 M, Year=2020, Training Protocol=Original publication2026.0491.2—————
DCQColor Bits=32026.0291.02—————
SELFNoise ratio=20%, Noise type=Symmetric2021.1291.0199.1591.2991.5891.01—
DMNoise ratio=50%, Noise type=Symmetric2021.1290.4698.8590.4390.4690.46—
SELFNoise ratio=50%, Noise type=Symmetric2021.1290.2998.5490.4390.5190.29—
DCQColor Bits=22026.0289.15—————
INCVNoise ratio=20%, Noise type=Symmetric2021.1289.0299.189.0889.8989.02—
MedianCutColor Bits=62026.0288.89—————
JointNoise ratio=20%, Noise type=Symmetric2021.1288.3798.8888.3388.3888.37—
HSA-NRLNoise ratio=40%, Noise type=Asymmetric2021.1288.2698.7788.2488.2988.26—
Co-tea.Noise ratio=20%, Noise type=Symmetric2021.1287.899.0887.8587.9587.8—
SELFNoise ratio=40%, Noise type=Asymmetric2021.1287.1498.1287.2787.3587.14—
JointNoise ratio=40%, Noise type=Asymmetric2021.1287.0598.0387.0487.0987.05—
ColorCNNColor Bits=62026.0286.89—————
DMNoise ratio=40%, Noise type=Asymmetric2021.1286.597.5186.2486.7386.5—
MedianCutColor Bits=52026.0286.39—————
INCVNoise ratio=40%, Noise type=Asymmetric2021.1285.8898.2585.985.9985.88—
OCTreeColor Bits=62026.0284.99—————
INCVNoise ratio=50%, Noise type=Symmetric2021.1284.9898.3885.185.8884.98—
ColorCNNColor Bits=52026.0284.49—————
MedianCutColor Bits=42026.0284.34—————
ResNet-10 (end-to-end)Mostly local=false, Params=12 M2026.0484.2—————
Gabor+MLP gradient (matched arch.)Mostly local=false, Params=12 M, Year=20242026.0483.4—————
Co-tea.Noise ratio=50%, Noise type=Symmetric2021.1283.2198.2983.2783.4883.21—
ColorCNN+Color Bits=62026.0282.89—————
Co-tea.Noise ratio=40%, Noise type=Asymmetric2021.1282.8698.1582.9383.2482.86—
OUSMNoise ratio=20%, Noise type=Symmetric2021.1281.8897.0181.8581.8881.88—
JointNoise ratio=50%, Noise type=Symmetric2021.1281.8597.8881.8782.0381.85—
MedianCutColor Bits=32026.0281.02—————
Local loss networksMostly local=true, Year=2019, Training Protocol=Original publication2026.0481—————
ColorCNNColor Bits=42026.0280.34—————
OCTreeColor Bits=52026.0280.29—————
NF-NetNoise ratio=20%, Noise type=Symmetric2021.1280.2796.7680.1981.0280.27—
Ours (full, 93% local)Mostly local=true, Params=12 M, Year=20242026.0480.1—————
Sparse codingMostly local=true, Year=2012, Training Protocol=Original publication2026.0480—————
DCQColor Bits=12026.0279.94—————
CQFormerColor Bits=62026.0279.89—————
MedianCutColor Bits=22026.0278.15—————
Eq. PropagationMostly local=true, Year=2017, Training Protocol=Original publication2026.0478—————
OCTreeColor Bits=42026.0277.24—————
K-means featuresMostly local=true, Year=2012, Training Protocol=Original publication2026.0477—————
Forward-ForwardMostly local=true, Year=2022, Training Protocol=Original publication2026.0476—————
Forward-ForwardMostly local=true, Year=2022, Training Protocol=Matched training protocol2026.0475.8—————
CQFormerColor Bits=52026.0275.49—————
OCTreeColor Bits=32026.0275.12—————
PEPITAMostly local=true, Year=2022, Training Protocol=Original publication2026.0475—————
Greedy layer-wiseMostly local=true, Year=2007, Training Protocol=Original publication2026.0474—————
OUSMNoise ratio=40%, Noise type=Asymmetric2021.1273.8795.8773.2475.1472.87—
ColorCNN+Color Bits=52026.0272.59—————
CQFormerColor Bits=42026.0271.34—————
Ours (Hebbian-only)Mostly local=true, Params=12 M, Year=20242026.0471—————
MedianCutColor Bits=12026.0270.91—————
ColorCNNColor Bits=32026.0270.23—————
NF-NetNoise ratio=40%, Noise type=Asymmetric2021.1269.9891.4370.0270.1669.98—
OCTreeColor Bits=22026.0268.95—————
OUSMNoise ratio=50%, Noise type=Symmetric2021.1268.6693.7768.569.3968.66—
ColorCNN+Color Bits=42026.0268.34—————
NF-NetNoise ratio=50%, Noise type=Symmetric2021.1267.3890.3467.5867.8867.38—
CQFormerColor Bits=32026.0262.91—————
HSA-NRLNoise ratio=80%, Noise type=Symmetric2021.1261.6989.9161.661.7261.69—
ColorCNN+Color Bits=32026.0259.92—————
SELFNoise ratio=80%, Noise type=Symmetric2021.1259.7586.459.2460.0259.75—
ColorCNNColor Bits=22026.0259.48—————
DMNoise ratio=80%, Noise type=Symmetric2021.1258.0488.6258.7759.7158.04—
OCTreeColor Bits=12026.0257.91—————
JointNoise ratio=80%, Noise type=Symmetric2021.1257.8389.6257.957.9357.84—
INCVNoise ratio=80%, Noise type=Symmetric2021.1253.9885.7653.9853.9953.98—
CQFormerColor Bits=22026.0252.53—————
ColorCNN+Color Bits=22026.0249.66—————
CQFormerColor Bits=12026.0249.52—————
ColorCNN+Color Bits=12026.0248.77—————
ColorCNNColor Bits=12026.0244.12—————
OUSMNoise ratio=80%, Noise type=Symmetric2021.1240.6281.1840.5940.8740.42—
Co-tea.Noise ratio=80%, Noise type=Symmetric2021.1224.3761.9724.9225.6824.37—
NF-NetNoise ratio=80%, Noise type=Symmetric2021.1218.2856.318.919.7818.28—
DenseNet 100-24Params=27M2019.02—————3.74
DenseNet 190-40Params=26M2019.02—————3.46
ResNeXt-29 16x64Params=68M2019.02—————3.58
SWRN 28-10Params=36M, Dropout=0.32019.02—————3.88
SWRN 28-10-2Params=17M, Dropout=0.32019.02—————3.75
SWRN 28-14Params=71M, Dropout=0.32019.02—————3.67
SWRN 28-14-2Params=33M, Dropout=0.32019.02—————3.69
SWRN 28-18Params=118M, Dropout=0.32019.02—————3.48
SWRN 28-18-2Params=55M, Dropout=0.32019.02—————3.43
VAT smallDiscriminator architecture=small, Data augmentation=false2017.05—————14.87
VAT+EntMin+LargeDiscriminator architecture=large, Data augmentation=false2017.05—————13.15