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Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains

CVPR 2023 · Label-efficient and robust learning › Recognition and long-tail · approach: Multilingual language representation pretraining · 18 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Train across label domains using SST rather than plain multi-dataset trainingHuman parsing network with ResNet-50 · PASCAL-Person-PartmIoU: 70.40 -> 72.25Helped
Use SST for universal parsing rather than plain multi-dataset trainingHuman parsing network with ResNet-50 · ATRmIoU: 79.39 -> 79.97Helped
Use SST for universal parsing rather than plain multi-dataset trainingHuman parsing network with ResNet-50 · CIHPmIoU: 62.74 -> 63.35Helped
Use full pairwise dataset connections instead of progressive connectionsSST · PASCAL, ATR, and CIHPmIoU: 72.03 -> 72.25; 79.64 -> 79.97; 63.19 -> 63.35Helped
Transfer with SST rather than direct fine-tuning, using 50% target dataCIHP-pretrained model adapted to PASCAL-Person-Part · PASCAL-Person-PartmIoU: 69.23 -> 71.81Helped
Transfer with SST rather than direct fine-tuning, using all target dataCIHP-pretrained model adapted to PASCAL-Person-Part · PASCAL-Person-PartmIoU: 71.52 -> 73.49Helped
Add MSE with the intra-domain connectivity prior (ablation)Multi-dataset parsing model · PASCAL-Person-PartmIoU: 70.40 -> 71.02Helped
Add the intra-domain connectivity prior to MSE (ablation)MSE-enabled multi-dataset parsing model · PASCAL-Person-PartmIoU: 70.78 -> 71.02Helped
Add dataset-level semantic consistency regularization (ablation)MSE-enabled multi-dataset parsing model · PASCAL-Person-PartmIoU: +0.43%Helped
Add image-level semantic consistency regularization (ablation)MSE-enabled multi-dataset parsing model · PASCAL-Person-PartmIoU: +0.91%Helped
Add both dataset-level and image-level semantic consistency regularization (ablation)MSE-enabled multi-dataset parsing model · PASCAL-Person-PartmIoU: 71.02 -> 72.25Helped

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