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Learning Sample Relationship for Exposure Correction

CVPR 2023 · Label-efficient and robust learning › Recognition and long-tail · approach: Group-robust classification · 42 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add ERL sample-relationship regularization to FECNetFECNet · MSECaverage PSNR: 23.12 -> 23.15Helped
Add ERL sample-relationship regularization to FECNetFECNet · SICEaverage PSNR: 20.96 -> 21.22Helped
Add ERL sample-relationship regularization to FECNetFECNet · MSEC overexposurePSNR: 23.22 -> 23.18Hurt
Add ERL sample-relationship regularization to FECNetFECNet · SICEaverage SSIM: 0.6849 -> 0.6781Hurt
Add ERL sample-relationship regularization to ECLNetECLNet · MSECaverage PSNR: 22.57 -> 22.70Helped
Add ERL sample-relationship regularization to ECLNetECLNet · SICEaverage PSNR: 20.65 -> 20.81Helped
Add ERL sample-relationship regularization to DRBNDRBN · SICEaverage PSNR: 17.65 -> 18.01Helped
Add ERL sample-relationship regularization to DRBN-ENCDRBN-ENC · MSECaverage PSNR: 22.35 -> 22.67Helped
Add ERL sample-relationship regularization to DRBN-ENCDRBN-ENC · SICEaverage PSNR: 20.49 -> 20.78Helped
Add ERL to FECNet in the mixed enhancement taskFECNet · LOLPSNR: 22.03 -> 21.08Hurt
Add ERL to FECNet in the mixed enhancement taskFECNet · SICE overexposurePSNR: 19.78 -> 20.57Helped
Omit the BCM pretext task (ablation)ERL with ECLNet · SICEPSNR: 20.81 -> 20.76Hurt

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