A Deep Learning-based Indoor Scene Classification Approach Enhanced with Inter-Object Distance Semantic Features
Ricardo Pereira,Luís Garrote,Tiago Barros,Ana Lopes,Urbano J. Nunes,Ricardo Pereira,Luís Garrote,Tiago Barros,Ana Lopes,Urbano J. Nunes
Convolutional Neural Networks (CNNs) have been increasingly applied in visual classification tasks by replacing hand-crafted features with deep features. However, problems such as inter-class similarity and intra-class variation led to the need of obtaining more descriptive features. To accomplish this, a new semantic inter-object relationship approach is proposed, which is based on the distance r...
