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Turini, J., & Vo, L. H. (2020). Effects of spatial layout and object content on visual scene recognition. Journal of Vision, 20(11), 1070.Search in Google Scholar
Lu, X., Li, X., & Mou, L. (2017). Semi-supervised multitask learning for scene recognition. IEEE Transactions on Cybernetics, 45(9), 1967-1976.Search in Google Scholar
Xie, L., Lee, F., Liu, L., Yin, Z., & Chen, Q. (2020). Hierarchical coding of convolutional features for scene recognition. IEEE Transactions on Multimedia, 22(5), 1182-1192.Search in Google Scholar
E, Y. Z. A., B, Z. F., C, F. H., & D, Y. L. (2021). Pmmn: pre-trained multi-modal network for scene text recognition. Pattern Recognition Letters.Search in Google Scholar
Lukavsky, J. D. F. (2017). Visual properties and memorising scenes: effects of image-space sparseness and uniformity. Attention, perception & psychophysics, 79(7).Search in Google Scholar
Liu, M., & Siegwart, R. (2017). Topological mapping and scene recognition with lightweight color descriptors for an omnidirectional camera. IEEE Transactions on Robotics, 30(2), 310-324.Search in Google Scholar
Tang, P., Wang, H., & Kwong, S. (2017). G-ms2f: googlenet based multi-stage feature fusion of deep cnn for scene recognition. Neurocomputing.Search in Google Scholar
Savchenko, A. V., Demochkin, K. V., & Grechikhin, I. S. (2022). Preference prediction based on a photo gallery analysis with scene recognition and object detection. Pattern Recognition, 121, 108248-.Search in Google Scholar
A, L. X., A, F. L., B, L. L., A, Z. Y., A, Y. Y., & A, W. W., et al. (2018). Improved spatial pyramid matching for scene recognition. Pattern Recognition, 82, 118-129.Search in Google Scholar
Naiemi, F., Ghods, V., & Khalesi, H. (2020). A novel pipeline framework for multi oriented scene text image detection and recognition. Expert Systems with Applications, 170(3), 114549.Search in Google Scholar
Anbarasu, B., & Anitha, G. (2018). Indoor scene recognition for micro aerial vehicles navigation using enhanced-gist descriptors. Defence Science Journal, 68(2), 129-137.Search in Google Scholar
Chan, Y. T. (2019). Deep learning-based scene-awareness approach for intelligent change detection in videos. Journal of Electronic Imaging, 28(1), 1.Search in Google Scholar
Zhang, XinWang, YongchengZhang, NingXu, DongdongChen, BoBen, GuangliWang, Xue. (2019). Scene classification of high-resolution remote sensing images based on imfnet. Journal of Applied Remote Sensing, 13(4).Search in Google Scholar
Harel, A. (2020). P2: a novel erp marker of global scene perception. Journal of Vision, 20(11), 908.Search in Google Scholar
Zhang, X., Wang, L., & Su, Y. (2020). Visual place recognition: a survey from deep learning perspective. Pattern Recognition.Search in Google Scholar
Puthenputhussery, A., Liu, Q., & Liu, C. (2017). A sparse representation model using the complete marginal fisher analysis framework and its applications to visual recognition. IEEE Transactions on Multimedia, 1-1.Search in Google Scholar
Parhizkar, M., Amirfakhrian, M., & Darba, A. (2022). Recognizing the damaged surface parts of cars in the real scene using a deep learning framework. Mathematical Problems in Engineering, 2022.Search in Google Scholar
Gao, W., Zhu, Y., Zhang, W., Zhang, K., & Gao, H. (2019). A hierarchical recurrent approach to predict scene graphs from a visual-attention-oriented perspective. Computational Intelligence.Search in Google Scholar
Cai, Z., Long, Y., & Shao, L. (2018). Adaptive rgb image recognition by visual-depth embedding. IEEE Transactions on Image Processing, 1-1.Search in Google Scholar