Optimizing offset-regression by relay point for bottom-up human pose estimation
Author:
Funder
Ministry of Education
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-023-05133-y.pdf
Reference58 articles.
1. Zhang Y, Chen W (2023) Decision-level information fusion powered human pose estimation. Appl Intell 53:2161–2172
2. Xu F, Wang Z, Wang H, Lin L (2023) Dynamic vehicle pose estimation and tracking based on motion feedback for LiDARs. Appl Intell 53:2362–2390
3. Liu S, Sehgal N, Ostadabbas S (2022) Adapted human pose: monocular 3D human pose estimation with zero real 3D pose data. Appl Intell 52:14491–14506
4. Wu W, Zhou D, Zhang Q, Dong J, Wei X (2022) High-order local connection network for 3D human pose estimation based on GCN. Appl Intell 52:15690–15702
5. Dong K, Sun Y, Cheng X, Wang X, Wang B (2022) Combining detailed appearance and multi-scale representation: a structure-context complementary network for human pose estimation. Appl Intell 53(7):8097–8113. https://doi.org/10.1007/s10489-022-03909-2
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