Growing random forest on deep convolutional neural networks for scene categorization
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[1] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[2] James M. Rehg,et al. CENTRIST: A Visual Descriptor for Scene Categorization , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Matthieu Cord,et al. Learning Deep Hierarchical Visual Feature Coding , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[4] Bin Fang,et al. Scene classification based on single-layer SAE and SVM , 2015, Expert Syst. Appl..
[5] Jean-Marc Odobez,et al. A Thousand Words in a Scene , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[7] Hervé Le Borgne,et al. Locality-constrained and spatially regularized coding for scene categorization , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Yihong Gong,et al. Locality-constrained Linear Coding for image classification , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[9] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.
[10] Hong Wang,et al. A low-cost INS/GPS integration methodology based on random forest regression , 2013, Expert Syst. Appl..
[11] Hongbin Zha,et al. Supervised Kernel Descriptors for Visual Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Bolei Zhou,et al. Learning Deep Features for Scene Recognition using Places Database , 2014, NIPS.
[13] De Xu,et al. Region Contextual Visual Words for scene categorization , 2011, Expert Syst. Appl..
[14] Cewu Lu,et al. Learning Important Spatial Pooling Regions for Scene Classification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[15] Ali Farhadi,et al. Incorporating Scene Context and Object Layout into Appearance Modeling , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Martin Szummer,et al. Indoor-outdoor image classification , 1998, Proceedings 1998 IEEE International Workshop on Content-Based Access of Image and Video Database.
[17] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[18] Jean Ponce,et al. Learning mid-level features for recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[19] Alexei A. Efros,et al. Unsupervised Discovery of Mid-Level Discriminative Patches , 2012, ECCV.
[20] Cor J. Veenman,et al. Kernel Codebooks for Scene Categorization , 2008, ECCV.
[21] C. V. Jawahar,et al. Blocks That Shout: Distinctive Parts for Scene Classification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[22] Frédéric Jurie,et al. Randomized Clustering Forests for Image Classification , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Trevor Darrell,et al. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition , 2013, ICML.
[24] Ling Shao,et al. Learning Object-to-Class Kernels for Scene Classification , 2014, IEEE Transactions on Image Processing.
[25] Svetlana Lazebnik,et al. Scene recognition and weakly supervised object localization with deformable part-based models , 2011, 2011 International Conference on Computer Vision.
[26] Antonio Torralba,et al. Recognizing indoor scenes , 2009, CVPR.
[27] Arati Dandavate,et al. Semantic Texton Forests for Image Categorization and Segmentation , 2018, IJARCCE.
[28] Hao Su,et al. Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification , 2010, NIPS.
[29] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Bolei Zhou,et al. Object Detectors Emerge in Deep Scene CNNs , 2014, ICLR.
[31] Andrew Zisserman,et al. Image Classification using Random Forests and Ferns , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[32] Svetlana Lazebnik,et al. Multi-scale Orderless Pooling of Deep Convolutional Activation Features , 2014, ECCV.
[33] Dumitru Erhan,et al. Going deeper with convolutions , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Camille Couprie,et al. Learning Hierarchical Features for Scene Labeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Bernt Schiele,et al. Scalable Multitask Representation Learning for Scene Classification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[37] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[38] Alexei A. Efros,et al. Mid-level Visual Element Discovery as Discriminative Mode Seeking , 2013, NIPS.
[39] Fei-Fei Li,et al. What, where and who? Classifying events by scene and object recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[40] Qi Tian,et al. Orientational Pyramid Matching for Recognizing Indoor Scenes , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[42] Fei-Fei Li,et al. ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Vural Aksakalli,et al. Risk assessment in social lending via random forests , 2015, Expert Syst. Appl..
[44] Luca Calderoni,et al. Indoor localization in a hospital environment using Random Forest classifiers , 2015, Expert Syst. Appl..
[45] Fereshteh Sadeghi,et al. Latent Pyramidal Regions for Recognizing Scenes , 2012, ECCV.
[46] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[47] Aapo Hyvärinen,et al. Natural Image Statistics - A Probabilistic Approach to Early Computational Vision , 2009, Computational Imaging and Vision.
[48] Marcel Worring,et al. Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[49] Jana Kosecka,et al. Deep Convolutional Features for Image Based Retrieval and Scene Categorization , 2015, ArXiv.