Low-Rank Bilinear Pooling for Fine-Grained Classification
暂无分享,去创建一个
[1] Joshua B. Tenenbaum,et al. Separating Style and Content with Bilinear Models , 2000, Neural Computation.
[2] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[3] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[4] Andrea Vedaldi,et al. MatConvNet: Convolutional Neural Networks for MATLAB , 2014, ACM Multimedia.
[5] Harish Karnick,et al. Random Feature Maps for Dot Product Kernels , 2012, AISTATS.
[6] Andrew Zisserman,et al. Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps , 2013, ICLR.
[7] Tong Zhang,et al. A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , 2005, J. Mach. Learn. Res..
[8] Jonathan Krause,et al. The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition , 2015, ECCV.
[9] Jonathan Krause,et al. 3D Object Representations for Fine-Grained Categorization , 2013, 2013 IEEE International Conference on Computer Vision Workshops.
[10] Charless C. Fowlkes,et al. Bilinear classifiers for visual recognition , 2009, NIPS.
[11] Subhransu Maji,et al. Bilinear CNN Models for Fine-Grained Visual Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[12] Iasonas Kokkinos,et al. Describing Textures in the Wild , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Shu Kong,et al. Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[14] Subhransu Maji,et al. Deep filter banks for texture recognition and segmentation , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Feng Zhou,et al. Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning with Humans in the Loop , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Zhang Han,et al. SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition , 2016 .
[17] Pietro Perona,et al. Strong supervision from weak annotation: Interactive training of deformable part models , 2011, 2011 International Conference on Computer Vision.
[18] Yang Gao,et al. Compact Bilinear Pooling , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Jonghyun Choi,et al. Mining Discriminative Triplets of Patches for Fine-Grained Classification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Joachim Denzler,et al. Part Detector Discovery in Deep Convolutional Neural Networks , 2014, ACCV.
[21] Pietro Perona,et al. Caltech-UCSD Birds 200 , 2010 .
[22] Yang Gao,et al. Fine-grained pose prediction, normalization, and recognition , 2015, ArXiv.
[23] Carlos Guestrin,et al. "Why Should I Trust You?": Explaining the Predictions of Any Classifier , 2016, ArXiv.
[24] Ya Zhang,et al. Part-Stacked CNN for Fine-Grained Visual Categorization , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[25] Subhransu Maji,et al. Fine-Grained Visual Classification of Aircraft , 2013, ArXiv.
[26] Rasmus Pagh,et al. Fast and scalable polynomial kernels via explicit feature maps , 2013, KDD.
[27] Ahmed M. Elgammal,et al. SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Pietro Perona,et al. The Caltech-UCSD Birds-200-2011 Dataset , 2011 .
[29] Yann LeCun,et al. The Loss Surfaces of Multilayer Networks , 2014, AISTATS.
[30] Anoop Cherian,et al. Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors with Application to Texture Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Lior Wolf,et al. Modeling Appearances with Low-Rank SVM , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[32] Cristian Sminchisescu,et al. Semantic Segmentation with Second-Order Pooling , 2012, ECCV.
[33] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[34] C. Schmid,et al. On the burstiness of visual elements , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Bolei Zhou,et al. Learning Deep Features for Scene Recognition using Places Database , 2014, NIPS.
[36] Surya Ganguli,et al. Identifying and attacking the saddle point problem in high-dimensional non-convex optimization , 2014, NIPS.
[37] Jonathan Krause,et al. Fine-grained recognition without part annotations , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Anton van den Hengel,et al. The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[40] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[41] Trevor Darrell,et al. Part-Based R-CNNs for Fine-Grained Category Detection , 2014, ECCV.
[42] Takumi Kobayashi,et al. Low-Rank Bilinear Classification: Efficient Convex Optimization and Extensions , 2014, International Journal of Computer Vision.