EBA-PRNetCC: An Efficient Bridge Attention-Integration PoseResNet for Coordinate Classification in 2D Human Pose Estimation

Ali Zakir, Sartaj Salman, Gibran Benitez-Garcia, Hiroki Takahashi, Hiroki Takahashi

2024

Abstract

In the current era, 2D Human Pose Estimation has emerged as an essential component in advanced Computer Vision tasks, particularly for understanding human behaviors. While challenges such as occlusion and unfavorable lighting conditions persist, the advent of deep learning has significantly strengthened the efficacy of 2D HPE. Yet, traditional 2D heatmap methodologies face quantization errors and demand complex post-processing. Addressing this, we introduce the EBA-PRNetCC model, an innovative coordinate classification approach for 2D HPE, emphasizing improved prediction accuracy and optimized model parameters. Our EBA-PRNetCC model employs a modified ResNet34 framework. A key feature is its head, which includes a dual-layer Multi-Layer Perceptron augmented by the Mish activation function. This design not only improves pose estimation precision but also minimizes model parameters. Integrating the Efficient Bridge Attention Net further enriches feature extraction, granting the model deep contextual insights. By enhancing pixel-level discretization, joint localization accuracy is improved. Comprehensive evaluations on the COCO dataset validate our model’s superior accuracy and computational efficiency performance compared to prevailing 2D HPE techniques.

Paper Citation

in Harvard Style

Zakir A., Salman S., Benitez-Garcia G. and Takahashi H. (2024). EBA-PRNetCC: An Efficient Bridge Attention-Integration PoseResNet for Coordinate Classification in 2D Human Pose Estimation. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 133-144. DOI: 10.5220/0012366300003660

in Bibtex Style

@conference{visapp24,
author={Ali Zakir and Sartaj Salman and Gibran Benitez-Garcia and Hiroki Takahashi},
title={EBA-PRNetCC: An Efficient Bridge Attention-Integration PoseResNet for Coordinate Classification in 2D Human Pose Estimation},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2024},
pages={133-144},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012366300003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - EBA-PRNetCC: An Efficient Bridge Attention-Integration PoseResNet for Coordinate Classification in 2D Human Pose Estimation
SN - 978-989-758-679-8
AU - Zakir A.
AU - Salman S.
AU - Benitez-Garcia G.
AU - Takahashi H.
PY - 2024
SP - 133
EP - 144
DO - 10.5220/0012366300003660
PB - SciTePress