most citedExploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 2 cited

Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification

Ricardo Pereira, Luís Garrote, Tiago Barros +2

Indoor scenes are usually characterized by scattered objects and their relationships, which turns the indoor scene classification task into a challenging computer vision task. Desp…