SwiDeN: Convolutional Neural Networks For Depiction Invariant Object Recognition
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[1] Tao Xiang,et al. Sketch-a-Net that Beats Humans , 2015, BMVC.
[2] CipollaRoberto,et al. Multiscale Categorical Object Recognition Using Contour Fragments , 2008 .
[3] Hongping Cai,et al. Learning Graphs to Model Visual Objects across Different Depictive Styles , 2014, ECCV.
[4] Andrew Blake,et al. Multiscale Categorical Object Recognition Using Contour Fragments , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Pietro Perona,et al. Object class recognition by unsupervised scale-invariant learning , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[7] Shimon Ullman,et al. Atoms of recognition in human and computer vision , 2016, Proceedings of the National Academy of Sciences.
[8] Yoshua Bengio,et al. How transferable are features in deep neural networks? , 2014, NIPS.
[9] Qi Wu,et al. Beyond Photo-Domain Object Recognition: Benchmarks for the Cross-Depiction Problem , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[10] Victor S. Lempitsky,et al. Unsupervised Domain Adaptation by Backpropagation , 2014, ICML.
[11] Qiang Chen,et al. Network In Network , 2013, ICLR.
[12] Xiao Bai,et al. Learning invariant structure for object identification by using graph methods , 2011, Comput. Vis. Image Underst..
[13] Alexei A. Efros,et al. Data-driven visual similarity for cross-domain image matching , 2011, ACM Trans. Graph..
[14] Rob Fergus,et al. Visualizing and Understanding Convolutional Networks , 2013, ECCV.
[15] Hongping Cai,et al. The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs , 2015, ArXiv.
[16] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[17] Sanja Fidler,et al. Towards Scalable Representations of Object Categories: Learning a Hierarchy of Parts , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[19] Trevor Darrell,et al. Caffe: Convolutional Architecture for Fast Feature Embedding , 2014, ACM Multimedia.