Deep Learning with 3D ResNets for Comprehensive Dual-Lane Speed Climbing Video Analysis
Analyzing dual-lane speed climbing videos provides critical insights into data-driven performance evaluation in sports climbing. This study introduces an enhanced deep learning approach based on 3D ResNets to classify and analyze speed climbing states. Leveraging an annotated dataset of 872 high-res...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2025-03-01
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| Series: | International Journal of Computer Science in Sport |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ijcss-2025-0002 |
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