BiMS-Pose: Enhancing Human Pose Estimation in Orchard Spraying Scenarios via Bidirectional Multi-Scale Collaboration
Most 2D human pose estimation frameworks utilize static designs for multi-scale feature fusion, where information from various scales is integrated using fixed weights. A drawback of these approaches is that they often lead to localization biases in complex scenarios. This paper addresses the issues...
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| Principais autores: | , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2026-03-01
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| Serija: | Agriculture |
| Teme: | |
| Online dostop: | https://www.mdpi.com/2077-0472/16/5/606 |
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