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Found 4 papers, 1 papers with code
Inter-object Discriminative Graph Modeling for Indoor Scene Recognition
Leveraging object information within scenes to enhance the distinguishability of feature representations has emerged as a key approach in this domain.
Semantic-embedded Similarity Prototype for Scene Recognition
Due to the high inter-class similarity caused by the complex composition and the co-existing objects across scenes, numerous studies have explored object semantic knowledge within scenes to improve scene recognition.
Semantic-guided modeling of spatial relation and object co-occurrence for indoor scene recognition
Firstly, the Semantic Spatial Relation Module (SSRM) is constructed to model scene spatial features.
SRRM: Semantic Region Relation Model for Indoor Scene Recognition
Despite the remarkable success of convolutional neural networks in various computer vision tasks, recognizing indoor scenes still presents a significant challenge due to their complex composition.
Ranked #1 on
Scene Recognition
on MIT Indoor Scenes
(10-stage average accuracy metric)
