Dual-Branch Occlusion-Aware Semantic Part-Features Extraction Network for Occluded Person Re-Identification
Occlusion remains a major challenge in person re-identification, as it often leads to incomplete or misleading visual cues. To address this issue, we propose a dual-branch occlusion-aware network (DOAN), which explicitly and implicitly enhances the model’s capability to perceive and handle occlusion...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
MDPI AG
2025-07-01
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| سلاسل: | Mathematics |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.mdpi.com/2227-7390/13/15/2432 |
| الوسوم: |
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