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Epipolar Transformers

CVPR 2020 · 3D vision › Human pose estimation · approach: Transformer-based multi-view 3D pose · 191 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add epipolar-transformer feature fusionHourglass 2D detector · InterHand testMPJPE (mm): 5.46 -> 4.91Helped
Add epipolar-transformer feature fusionResNet-50 pose detector · Human3.6M testJDR (%): 95.9 -> 97.01Helped
Add rotation and scaling data augmentationEpipolar transformer with ResNet-50 · Human3.6M testJDR (%): 97.01 -> 98.25Helped
Add epipolar-transformer feature fusionResNet-50 with triangulation · Human3.6M test, no external dataMPJPE (mm): 48.7 -> 33.1Helped
Replace global cross-view fusion with epipolar-transformer fusionResNet-50 with triangulation · Human3.6M test, no external dataMPJPE (mm): 45.5 -> 33.1Helped
Use RPSM instead of triangulation for 3D pose estimationResNet-50 with epipolar transformer · Human3.6M test, no external dataMPJPE (mm): 33.1 -> 26.9Helped
Use rotation and scaling augmentationResNet-50 with epipolar transformer and triangulation · Human3.6M test, no external dataMPJPE (mm): 33.1 -> 30.4Helped
Use Identity Gaussian rather than Bottleneck Embedded Gaussian fusion (ablation)Epipolar transformer · InterHand testMPJPE (mm): 4.99 -> 4.91Helped
Use softmax rather than max for epipolar attention (ablation)Epipolar transformer · InterHand testMPJPE (mm): 4.97 -> 4.91Helped
Use Identity Gaussian rather than Bottleneck Embedded Gaussian fusion (ablation)Epipolar transformer · Human3.6M testMPJPE (mm): 35.7 -> 33.1Helped
Insert the transformer at the early stage rather than the late stage (ablation)Hourglass epipolar-transformer detector · InterHand testMPJPE (mm): 4.91 -> 4.96No clear effect
Insert the transformer at both early and late stages (ablation)Hourglass epipolar-transformer detector · InterHand testMPJPE (mm): 4.91 -> 5.03Hurt

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