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PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors

CVPR 2022 · Label-efficient and robust learning › Self-supervised and contrastive · approach: Pretext-task visual pre-training · 17 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add unsupervised matching-prior training pairs to self-supervised training (ablation)PUMP descriptors · Aachen Day-Nightlocalized queries, 0.25m, 2°: 69.63 -> 73.30Helped
Add unsupervised matching-prior training pairs to self-supervised training (ablation)PUMP descriptors · ETH3DAEPEMixed
Add unsupervised matching-prior training pairs to self-supervised training (ablation)PUMP descriptors · HPatches viewpoint pairsAEPE: 4.19 -> 3.76Helped
Add unsupervised matching-prior training pairs (ablation)PUMP descriptors with DeepMatching · HPatches viewpoint pairs without interpolationPCK@1Hurt
Add style-transfer pairs to SfM120k training (ablation)PUMP self-supervised and self-supervised-plus-unsupervised models · HPatches and Aachen Day-NightMMA@1: 37.46 -> 37.97; 37.83 -> 37.64Mixed
Replace unsupervised training with full supervision on the Aachen-centered training set (ablation)PUMP ConvMixer descriptors · HPatchesMMA@1: 37.64 -> 36.38Hurt
Replace unsupervised training with full supervision on the Aachen-centered training set (ablation)PUMP ConvMixer descriptors · Aachen Day-Nightlocalized queries, 0.5m, 5°: 87.43 -> 89.01Mixed
Use the proposed descriptor with SIFT keypoints instead of the SIFT descriptorSIFT detector · Aachen Day-Nightlocalized queries, 0.25m, 2°: 45.55 -> 73.30Helped
Use the proposed descriptor with R2D2 keypoints instead of the R2D2 descriptorR2D2 detector · Aachen Day-Nightlocalized queries, 0.25m, 2°: 72.25 -> 73.30Helped
Use the proposed descriptor with SuperPoint keypoints instead of the SuperPoint descriptorSuperPoint detector · Aachen Day-Nightlocalized queries, 0.25m, 2°: 70.16 -> 74.35Helped

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