ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation

28 October 2021

Papers citing "ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation"

26 / 26 papers shown

Title
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning Bingyan Liu Yifeng Cai Yao Guo Xiangqun Chen 47 56 0 02 Mar 2021
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis Lei Gao L. Guan 31 4 0 28 Feb 2021
Discriminative Multiple Canonical Correlation Analysis for Information Fusion Lei Gao L. Qi E. Chen L. Guan 39 80 0 28 Feb 2021
The Labeled Multiple Canonical Correlation Analysis for Information Fusion Lei Gao Rui Zhang L. Qi E. Chen L. Guan 41 37 0 28 Feb 2021
Discriminative feature generation for classification of imbalanced data Sungho Suh P. Lukowicz Y. Lee 64 21 0 24 Oct 2020
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning Yulin Sun Zhao Zhang Weiming Jiang Zheng Zhang Li Zhang Shuicheng Yan Meng Wang 75 57 0 20 Nov 2019
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification Huan Zhang Zhao Zhang Mingbo Zhao Qiaolin Ye Min Zhang Meng Wang 32 32 0 20 Nov 2019
Regularizing CNN Transfer Learning with Randomised Regression Yang Zhong A. Maki 103 13 0 16 Aug 2019
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation Zhao Zhang Jiahuan Ren Sheng Li Richang Hong Zhengjun Zha Meng Wang 38 48 0 04 Aug 2019
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification Zhao Zhang Lei Jia Mingbo Zhao Guangcan Liu Meng Wang Shuicheng Yan 55 35 0 29 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 100 456 0 27 May 2019
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 59 157 0 05 Oct 2018
Convex Class Model on Symmetric Positive Definite Manifolds Kun-li Zhao Arnold Wiliem Shaokang Chen Brian C. Lovell 33 8 0 14 Jun 2018
Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification? Jun Xu Wangpeng An Lei Zhang David C. Zhang BDL 127 119 0 12 Jun 2018
A Method Based on Convex Cone Model for Image-Set Classification with CNN Features Naoya Sogi Taku Nakayama Kazuhiro Fukui 31 9 0 31 May 2018
Interpretable Convolutional Neural Networks Quanshi Zhang Ying Nian Wu Song-Chun Zhu FAtt 70 781 0 02 Oct 2017
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning Weifeng Ge Yizhou Yu 135 233 0 28 Feb 2017
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning G. Zhong Lina Wang Junyu Dong AI4TS 72 182 0 25 Nov 2016
ResFeats: Residual Network Based Features for Image Classification A. Mahmood Bennamoun Senjian An Ferdous Sohel VLM SSeg 58 59 0 21 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015
A study of the classification of low-dimensional data with supervised manifold learning Elif Vural C. Guillemot 28 30 0 21 Jul 2015
DCTNet : A Simple Learning-free Approach for Face Recognition C. Ng Andrew Beng Jin Teoh CVBM 25 59 0 08 Jul 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks Marcel Simon E. Rodner 69 412 0 30 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.6K 100,386 0 04 Sep 2014
PCANet: A Simple Deep Learning Baseline for Image Classification? Tsung-Han Chan Kui Jia Shenghua Gao Jiwen Lu Zinan Zeng Yi-An Ma 118 1,500 0 14 Apr 2014
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 256 12,439 0 24 Jun 2012