Structural fragmentation in scene graphs

Despite continuous performance improvements, contemporary Scene Graph (SG) systems tend to generate ‘fragmented’ graphs. A central problem is that standard metrics only measure similarity to ground truth graphs at the triplet level and may not fully capture image relevance or semantic correctness. I...

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Veröffentlicht in:	Knowledge-based systems 2021-01, Vol.211, p.106504, Article 106504
Hauptverfasser:	Rao, Varshanth, Dai, Peng, Singla, Sidharth
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Datasets Fragmentation Graph coherence Graphs Ground truth Human study Quality assessment Recall Redundancy Scene graph Semantic quality Semantics
Online-Zugang:	Volltext
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