AGSM–CPA: Reliability-Aware Robustness for Rotation-Invariant Point Cloud Learning
Rotation-invariant (RI) point cloud models aim to reduce sensitivity to viewpoint changes, but their performance still drops noticeably in real-world settings when local geometry is degraded by noise, occlusion, and uneven sampling. Once these disturbances propagate through deeper layers, they can l...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2026-01-01
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| Serija: | Mathematics |
| Teme: | |
| Online dostop: | https://www.mdpi.com/2227-7390/14/2/278 |
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