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A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification

A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification

Ricardo Pereira
T. Barros
L. Garrote
Ana Lopes
U. J. Nunes
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Papers citing "A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification"

5 / 5 papers shown
Title
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification
Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification
Ricardo Pereira
L. Garrote
T. Barros
Ana Lopes
U. J. Nunes
31
1
0
11 Apr 2024
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
Liguang Zhou
Yuhongze Zhou
Xiaonan Qi
Junjie Hu
Tin Lun Lam
Yangsheng Xu
43
12
0
31 Dec 2022
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
Daniel Seichter
Söhnke Benedikt Fischedick
Mona Köhler
H. Groß
37
35
0
10 Jul 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
321
10,237
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
342
36,437
0
25 Aug 2016