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3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention

CVPR 2023 · 3D vision › Human pose estimation · approach: Multi-person pose estimation · 218 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use parallel spatial and temporal attention rather than spatial attention alone (ablation)STCFormer · Human3.6MP1 (mm): 275.5 -> 57.0Helped
Use parallel spatial and temporal attention rather than temporal attention alone (ablation)STCFormer · Human3.6MP1 (mm): 67.6 -> 57.0Helped
Add part-aware positional embedding (SPE1) (ablation)STCFormer · Human3.6MP1 (mm): 57.0 -> 56.4Helped
Add spatio-temporal convolutional positional embedding (SPE2) (ablation)STCFormer · Human3.6MP1 (mm): 57.0 -> 44.9Helped
Add both SPE1 and SPE2 (ablation)STCFormer · Human3.6MP1 (mm): 57.0 -> 44.1Helped
Use part-aware positional embedding instead of no SPE1 (ablation)STCFormer · Human3.6MP1 (mm): 48.7 -> 48.3Helped
Replace SPE1 with absolute positional embedding (ablation)STCFormer · Human3.6MP1 (mm): 48.3 -> 48.9Hurt
Replace SPE1 with centrality positional embedding (ablation)STCFormer · Human3.6MP1 (mm): 48.3 -> 49.6Hurt
Replace SPE1 with symmetric positional embedding (ablation)STCFormer · Human3.6MP1 (mm): 48.3 -> 49.2Hurt
Increase the input sequence from 27 to 243 frames (ablation)STCFormer · Human3.6MP1 (mm): 44.1 -> 41.0Helped
Increase hidden embedding channel size from 256 to 512 (ablation)STCFormer · Human3.6MP1 (mm): 41.0 -> 40.5Helped
Use STCFormer-L instead of MixSTE with 243 input frames3D pose estimation · Human3.6M (CPN 2D poses)P1 (mm): 40.9 -> 40.5Helped

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