Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification
Reflective smartphone cover glass is challenging to inspect from a single fixed viewpoint because defect visibility varies with viewing geometry and specular reflections. This gives rise to two practical challenges: defects may be weakly observable from certain viewpoints, while the available visual evidence may remain spatially ambiguous. To address these issues, we propose a multi-view inspection framework in which each RGB observation is processed by a shared per-view expert. A vision-language model (VLM) produces class-aware semantic boxes, while a normal-reference reconstruction branch pr
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- LinkedLinked via arxiv author · 85%Van-Giang Nguyen →
“Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification”
- LinkedLinked via arxiv author · 85%Thanh-Tuan Tran →
“Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification”
- LinkedLinked via arxiv author · 85%Xuan-Hieu Phan →
“Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification”
- LinkedLinked via arxiv author · 85%Xiem HoangVan →
“Multi-View Reflective Surface Inspection via Semantic-Saliency Cross-Verification”
- FuzzyOverlapping authors or contributors · 62%ultralytics/yolov5 →
“Shared author/contributor keys: tran”
- FuzzyOverlapping authors or contributors · 62%open-webui/open-webui →
“Shared author/contributor keys: nguyen”
- FuzzySimilar title/name (fuzzy) · 59%microsoft/semantic-kernel →
“Fuzzy title match (0.73): “Multi-View Reflective Surface Inspection via Semantic-Salien” ≈ “microsoft/semantic-kernel””