A deep learning-based global and segmentation-based semantic feature fusion approach for indoor scene classification
Author:
Funder
Fundação para a Ciência e a Tecnologia
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software
Reference34 articles.
1. Scene-aware deep networks for semantic segmentation of images;Yi;IEEE Access,2019
2. Scene recognition: A comprehensive survey;Xie;Pattern Recognit.,2020
3. Y. Zhang, H. Chen, K. Yang, J. Zhang, R. Stiefelhagen, Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired, in: IEEE International Conference on Real-Time Computing and Robotics, RCAR, 2021.
4. R. Pereira, A. Cruz, L. Garrote, G. Pires, A. Lopes, U.J. Nunes, Dynamic Environment-based Visual User Interface System for Intuitive Navigation Target Selection for Brain-actuated Wheelchairs, in: IEEE International Conference on Robot and Human Interactive Communication, RO-MAN, 2022.
5. R. Pereira, L. Garrote, T. Barros, A. Lopes, U.J. Nunes, A Deep Learning-based Indoor Scene Classification Approach Enhanced with Inter-Object Distance Semantic Features, in: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, 2021.
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