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GAN-Supervised Dense Visual Alignment

CVPR 2022 · Label-efficient and robust learning › Self-supervised and contrastive · approach: Pretext-task visual pre-training · 53 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use GANgealing instead of the strongest listed baselineSPair-71K Bicycle correspondence · SPair-71K Bicycle testPCK-Transfer@α_bbox=0.1: 34.7 -> 37.5Helped
use GANgealing instead of the strongest listed baselineSPair-71K Cat correspondence · SPair-71K Cat testPCK-Transfer@α_bbox=0.1: 66.5 -> 67.0Helped
use GANgealing instead of the strongest listed baselineSPair-71K Dog correspondence · SPair-71K Dog testPCK-Transfer@α_bbox=0.1: 24.3 -> 23.1Hurt
use GANgealing instead of the strongest listed baselineSPair-71K TV correspondence · SPair-71K TV testPCK-Transfer@α_bbox=0.1: 58.0 -> 57.9Hurt
use GANgealing instead of the strongest correspondence-supervised baselineCUB correspondence · CUB validationPCK-Transfer@0.1: 58.5 -> 57.5Hurt
learn the target latent rather than fixing it to the average (ablation)GANgealing · SPair-71K CatsPCK@α_bbox=0.1: 10.6 -> 67.2Helped
constrain target optimization to 1 PCA coefficient instead of 512 (ablation)GANgealing · SPair-71K CatsPCK@α_bbox=0.1: 0.34 -> 67.2Helped
set the style-mixing cutoff to 4 rather than 5 (ablation)GANgealing · SPair-71K CatsPCK@α_bbox=0.1: 67.2 -> 60.5Hurt
set the style-mixing cutoff to 6 rather than 5 (ablation)GANgealing · SPair-71K CatsPCK@α_bbox=0.1: 67.2 -> 65.0Hurt
remove style mixing from per-input targets (ablation)GANgealing · SPair-71K CatsPCK@α_bbox=0.1: 67.2 -> 25.9Hurt
remove style mixing and use LPIPS loss (ablation)GANgealing · SPair-71K CatsPCK@α_bbox=0.1: 67.0 -> 7.74Hurt
remove total variation flow regularization (ablation)GANgealing · SPair-71K CatsPCK@α_bbox=0.1: 67.2 -> 59.0Hurt

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