ReDro: Efficiently Learning Large-Sized SPD Visual Representation
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Lei Wang | Changming Sun | Luping Zhou | Saimunur Rahman | Changming Sun | Luping Zhou | Lei Wang | Saimunur Rahman
[1] Subhransu Maji,et al. Deep filter banks for texture recognition and segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Fatih Murat Porikli,et al. A Deeper Look at Power Normalizations , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[3] Piotr Koniusz,et al. Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification , 2020, ArXiv.
[4] Lei Zhang,et al. Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Hongdong Li,et al. Few-Shot Action Recognition with Permutation-Invariant Attention , 2020, ECCV.
[6] Antonio Torralba,et al. Recognizing indoor scenes , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Subhransu Maji,et al. Fine-Grained Visual Classification of Aircraft , 2013, ArXiv.
[8] Jonathan Tompson,et al. Efficient object localization using Convolutional Networks , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Larry S. Davis,et al. Covariance discriminative learning: A natural and efficient approach to image set classification , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Luc Brun,et al. A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Pietro Perona,et al. Caltech-UCSD Birds 200 , 2010 .
[12] Fatih Murat Porikli,et al. Human Detection via Classification on Riemannian Manifolds , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Luc Van Gool,et al. A Riemannian Network for SPD Matrix Learning , 2016, AAAI.
[14] Cristian Sminchisescu,et al. Matrix Backpropagation for Deep Networks with Structured Layers , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[15] Hongdong Li,et al. Kernel Methods on Riemannian Manifolds with Gaussian RBF Kernels , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Anoop Cherian,et al. Tensor Representations for Action Recognition , 2020, ArXiv.
[17] Matthieu Cord,et al. Riemannian batch normalization for SPD neural networks , 2019, NeurIPS.
[18] Jonathan Krause,et al. 3D Object Representations for Fine-Grained Categorization , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[19] Shu Kong,et al. Low-Rank Bilinear Pooling for Fine-Grained Classification , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Subhransu Maji,et al. Bilinear CNN Models for Fine-Grained Visual Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[21] Quoc V. Le,et al. DropBlock: A regularization method for convolutional networks , 2018, NeurIPS.
[22] Mathieu Salzmann,et al. Second-order Convolutional Neural Networks , 2017, ArXiv.
[23] Jing Zhang,et al. Few-Shot Learning via Saliency-Guided Hallucination of Samples , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Subhransu Maji,et al. Improved Bilinear Pooling with CNNs , 2017, BMVC.
[25] Yang Gao,et al. Compact Bilinear Pooling , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Qilong Wang,et al. Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[27] Xiao Liu,et al. Kernel Pooling for Convolutional Neural Networks , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Jiebo Luo,et al. Learning Deep Bilinear Transformation for Fine-grained Image Representation , 2019, NeurIPS.
[29] James Demmel,et al. Fast linear algebra is stable , 2006, Numerische Mathematik.
[30] Zilei Wang,et al. Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network , 2019, AAAI.
[31] Lei Wang,et al. DeepKSPD: Learning Kernel-matrix-based SPD Representation for Fine-grained Image Recognition , 2017, ECCV.
[32] Qilong Wang,et al. Is Second-Order Information Helpful for Large-Scale Visual Recognition? , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[33] Andrea Vedaldi,et al. MatConvNet: Convolutional Neural Networks for MATLAB , 2014, ACM Multimedia.
[34] Cewu Lu,et al. Approximated Bilinear Modules for Temporal Modeling , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[35] Fatih Murat Porikli,et al. Covariance Tracking using Model Update Based on Lie Algebra , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[36] Fatih Murat Porikli,et al. Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.
[37] Rudrasis Chakraborty,et al. A Deep Neural Network for Manifold-Valued Data with Applications to Neuroimaging , 2019, IPMI.
[38] Michael I. Jordan,et al. On Spectral Clustering: Analysis and an algorithm , 2001, NIPS.
[39] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..