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Beyond Appearance: A Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks

CVPR 2023 · Label-efficient and robust learning › Self-supervised and contrastive · approach: Pretext-task visual pre-training · 154 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add semantic clustering supervision (ablation)DINO Swin-T · MSMT17mAP/Rank1: 63.3/83.2 -> 61.6/82.2Hurt
Add semantic clustering supervision (ablation)DINO Swin-T · Market1501mAP/Rank1: 89.6/95.9 -> 89.5/95.5Hurt
Add semantic clustering supervision (ablation)DINO Swin-T · PA100kmA: 82.98 -> 82.98No clear effect
Add semantic clustering supervision (ablation)DINO Swin-T · LIPmIoU: 54.45 -> 55.25Helped
Add semantic clustering supervision (ablation)DINO Swin-T · CityPersonMR^-2(R/HO): 11.4/43.1 -> 11.1/41.7Helped
Add semantic clustering supervision (ablation)DINO Swin-T · PRWmAP/Rank1: 52.9/84.7 -> 53.0/84.0Mixed
Add semantic controller to semantic clustering (ablation)SOLIDER · Market1501mAP/Rank1: 89.5/95.5 -> 89.9/96.1Helped
Add semantic controller to semantic clustering (ablation)SOLIDER · MSMT17mAP/Rank1: 61.6/82.2 -> 63.9/83.8Helped
Add semantic controller to semantic clustering (ablation)SOLIDER · PRWmAP/Rank1: 53.0/84.0 -> 54.1/85.0Mixed
Sample the semantic controller value from a binary distribution instead of a uniform or beta distribution (ablation)SOLIDER · downstream human-centric tasksperformanceHelped
Increase the semantic controller value (ablation)SOLIDER · person re-identification and pedestrian detectionperformanceMixed

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