3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in 3d-human-pose-tracking-1
Use these libraries to find 3d-human-pose-tracking-1 models and implementations
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This work builds upon a real-time 2D multi-person pose estimation system and greedily solves the association problem between multiple views as problems associated with greedy matching such as occlusion can be easily resolved in 3D.
This paper introduces an approach for multi-human 3D pose estimation and tracking based on calibrated multiview that takes advantage of temporal consistency to match the 2D poses estimated with previously constructed 3D skeletons in every view.
An uncertainty-aware state space Transformer (USST) is proposed that takes the merits of the attention mechanism and aleatoric uncertainty within the framework of the classical state-space model and can be further enhanced by the velocity constraint and visual prompt tuning on large vision transformers.
Adding a benchmark result helps the community track progress.