SCite‐HRNet: A self‐calibrating efficient network for pose estimation
Abstract In order to tackle the challenge of capturing long‐range spatial dependencies among joints, a novel self‐calibrated lightweight high‐resolution network (SCite‐HRNet), which is grounded on the lightweight high‐resolution network is introduced. A self‐calibrated segmentation convolution is fi...
Saved in:
| Main Authors: | Nan Xiang, Xingdi Rao, Wenjing Yang, Jin Chen, Lifang Zhu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
|
| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.70106 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
WideHRNet: An Efficient Model for Human Pose Estimation Using Wide Channels in Lightweight High-Resolution Network
by: Esraa Samkari, et al.
Published: (2024-01-01) -
FA-HRNet: A New Fusion Attention Approach for Vegetation Semantic Segmentation and Analysis
by: Bingnan He, et al.
Published: (2024-11-01) -
SP-HRNet: single-path neural architecture search for human pose estimation
by: Mengyu Sun, et al.
Published: (2025-06-01) -
An efficient sparse pruning method for human pose estimation
by: Mingyang Wang, et al.
Published: (2022-12-01) -
Wi-Fi-Enabled Vision via Spatially-Variant Pose Estimation Based on Convolutional Transformer Network
by: Hyeon-Ju Lee, et al.
Published: (2025-01-01)