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Illuminant Estimation on Gehler-Shi (test)

2.03Mean ErrorVLM-CC
1.80923.29964.796.2804May 19, 2026

Evaluation results

MethodLinks
VLM-CCTrain dataset=NUS-82026.052.031.741.790.674.06
GCCTrain dataset=NUS-82026.052.352.022.060.784.57
CCMNetTrain dataset=NUS-82026.052.381.741.880.465.62
C4-SqueezeNet-FC4Train dataset=NUS-82026.052.732.22.280.725.69
SqueezeNet-FC4Train dataset=NUS-82026.053.022.362.50.816.36
GITrain dataset=NUS-82026.053.071.872.160.437.62
LSRSTrain dataset=NUS-82026.053.312.82.871.146.39
C5Train dataset=NUS-82026.053.342.572.680.787.39
Cheng et al.Train dataset=NUS-82026.053.522.142.470.58.74
ChakrabartiTrain dataset=NUS-82026.053.522.712.80.867.72
CLCCTrain dataset=NUS-82026.053.622.572.510.896.3
SIIETrain dataset=NUS-82026.053.722.462.791.028.51
FFCCTrain dataset=NUS-82026.053.913.153.341.227.94
Gray Pixel (edge)Train dataset=NUS-82026.054.63.1———
General Gray-WorldTrain dataset=NUS-82026.054.663.483.81110.09
BayesianTrain dataset=NUS-82026.054.753.113.51.0411.28
Shades-of-GrayTrain dataset=NUS-82026.054.934.014.231.1410.2
2nd-order Gray-EdgeTrain dataset=NUS-82026.055.134.444.622.119.26
1st-order Gray-EdgeTrain dataset=NUS-82026.055.334.524.731.8610.43
Gray-WorldTrain dataset=NUS-82026.056.366.286.282.3310.58
White-PatchTrain dataset=NUS-82026.057.555.686.351.4516.12