An efficient sparse pruning method for human pose estimation
Human pose estimation (HPE) is crucial for computer vision (CV). Moreover, it’s a vital step for computers to understand human actions and behaviours. However, the huge number of parameters and calculations in the HPE model have brought big challenges to deploy to resource-constrained mobile devices...
Saved in:
| Main Authors: | Mingyang Wang, Tianyi Sun, Kang Song, Shuang Li, Jing Jiang, Linjun Sun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2022-12-01
|
| Series: | Connection Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/09540091.2021.2012423 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks
by: Jingjing Liu, et al.
Published: (2025-04-01) -
Growth Activity of Apple Trees Depending on the Method and Timing of Crown Pruning
by: Chaploutskyi Andrii, et al.
Published: (2024-12-01) -
Efficiency of labor in winter pruning of apple trees using technological innovations
by: Élio Filipi dos SANTOS, et al.
Published: (2025-03-01) -
A New Fast Sparse Unmixing Algorithm Based on Adaptive Spectral Library Pruning and Nesterov Optimization
by: Kewen Qu, et al.
Published: (2025-01-01) -
Evaluation of the impact of vine pruning periods on grape production and composition: an integrated approach considering different years and cultivars
by: Isabella Ghiglieno, et al.
Published: (2025-01-01)