计算机视觉经典论文的参考论文目录

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[1] OverFeat

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[26] P. Sermanet and Y. LeCun. Traffic sign recognition with multi-scale convolutional networks. In Proceedings of International Joint Conference on Neural Networks (IJCNN’11), 2011.
[27] G. Taylor, R. Fergus, G. Williams, I. Spiro, and C. Bregler. Pose-sensitive embedding by nonlinear nca regression. In NIPS, 2011.
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[2] R-CNN

[1] B.Alexe,T.Deselaers,andV.Ferrari. Measuringtheobjectness of image windows. TPAMI, 2012. 2
[2] P. Arbel´aez, B. Hariharan, C. Gu, S. Gupta, L. Bourdev, and J. Malik. Semantic segmentation using regions and parts. In CVPR, 2012. 10, 11
[3] P. Arbel´aez, J. Pont-Tuset, J. Barron, F. Marques, and J. Malik. Multiscale combinatorial grouping. In CVPR, 2014. 3
[4] J. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu. Semantic segmentation with second-order pooling. In ECCV, 2012. 4, 10, 11, 13, 14
[5] J. Carreira and C. Sminchisescu. CPMC: Automatic object segmentation using constrained parametric min-cuts. TPAMI, 2012. 2, 3
[6] D. Cires¸an, A. Giusti, L. Gambardella, and J. Schmidhuber. Mitosisdetectioninbreastcancerhistologyimageswith deep neural networks. In MICCAI, 2013. 3
[7] N.DalalandB.Triggs. Histogramsoforientedgradientsfor human detection. In CVPR, 2005. 1
[8] T. Dean, M. A. Ruzon, M. Segal, J. Shlens, S. Vijayanarasimhan, and J. Yagnik. Fast, accurate detection of 100,000 object classes on a single machine. In CVPR, 2013. 3
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[10] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. FeiFei. ImageNet: A large-scale hierarchical image database. In CVPR, 2009. 1
[11] J. Deng, O. Russakovsky, J. Krause, M. Bernstein, A. C. Berg, and L. Fei-Fei. Scalable multi-label annotation. In CHI, 2014. 8
[12] J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. InICML, 2014. 2
[13] M. Douze, H. J´egou, H. Sandhawalia, L. Amsaleg, and C. Schmid. Evaluation of gist descriptors for web-scale imagesearch. InProc.oftheACMInternationalConferenceon Image and Video Retrieval, 2009. 13
[14] I. Endres and D. Hoiem. Category independent object proposals. In ECCV, 2010. 3
[15] M.Everingham,L.VanGool,C.K.I.Williams,J.Winn,and A. Zisserman. The PASCAL Visual Object Classes (VOC) Challenge. IJCV, 2010. 1, 4
[16] C. Farabet, C. Couprie, L. Najman, and Y. LeCun. Learning hierarchical features for scene labeling. TPAMI, 2013. 10
[17] P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. TPAMI, 2010. 2, 4, 7, 12
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A holistic representation of the spatial envelope. IJCV,2001. 13
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[35] P. Sermanet, K. Kavukcuoglu, S. Chintala, and Y. LeCun. Pedestrian detection with unsupervised multi-stage feature learning. In CVPR, 2013. 2
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[39] J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders. Selective search for object recognition. IJCV, 2013. 1, 2, 3, 4, 5, 9
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[41] X.Wang,M.Yang, S.Zhu,and Y.Lin. Regionlets for generic object detection. In ICCV, 2013. 3, 5 [42] M. Zeiler, G. Taylor, and R. Fergus. Adaptive deconvolutional networks for mid and high level feature learning. In CVPR, 2011. 4 [43] K. Simonyan and A. Zisserman. Very Deep Convolutional Networks for Large-Scale Image Recognition. arXiv preprint, arXiv:1409.1556, 2014. 6, 7, 14

[3] Fast R-CNN

[1] J. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu. Semantic segmentation with second-order pooling. In ECCV, 2012. 5
[2] R. Caruana. Multitask learning. Machine learning, 28(1), 1997. 6
[3] K. Chatfield, K. Simonyan, A. Vedaldi, and A. Zisserman. Return of the devil in the details: Delving deep into convolutional nets. In BMVC, 2014. 5
[4] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. FeiFei. ImageNet: A large-scale hierarchical image database. In CVPR, 2009. 2
[5] E. Denton, W. Zaremba, J. Bruna, Y. LeCun, and R. Fergus. Exploitinglinearstructurewithinconvolutionalnetworksfor efficient evaluation. In NIPS, 2014. 4
[6] D.Erhan,C.Szegedy,A.Toshev,andD.Anguelov. Scalable objectdetectionusingdeepneuralnetworks. InCVPR,2014. 3
[7] M.Everingham,L.VanGool,C.K.I.Williams,J.Winn,and A. Zisserman. The PASCAL Visual Object Classes (VOC) Challenge. IJCV, 2010. 1
[8] P. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. TPAMI, 2010. 3, 7, 8
[9] R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR, 2014. 1, 3, 4, 8
[10] R. Girshick, J. Donahue, T. Darrell, and J. Malik. Regionbased convolutional networks for accurate object detection and segmentation. TPAMI, 2015. 5, 7, 8
[11] K.He,X.Zhang,S.Ren,andJ.Sun. Spatialpyramidpooling in deep convolutional networks for visual recognition. In ECCV, 2014. 1, 2, 3, 4, 5, 6, 7
[12] J. H. Hosang, R. Benenson, P. Doll´ar, and B. Schiele. What makes for effective detection proposals? arXiv preprint arXiv:1502.05082, 2015. 8
[13] Y.Jia,E.Shelhamer,J.Donahue,S.Karayev,J.Long,R.Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecturefor fast feature embedding. In Proc. of the ACM International Conf. on Multimedia, 2014. 2
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[17] M. Lin, Q. Chen, and S. Yan. Network in network. In ICLR, 2014. 5
[18] T. Lin, M. Maire, S. Belongie, L. Bourdev, R. Girshick, J. Hays, P. Perona, D. Ramanan, P. Doll´ar, and C. L. Zitnick. Microsoft COCO: common objects in context. arXiv e-prints, arXiv:1405.0312 [cs.CV], 2014. 8
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[4] Faster R-CNN

[1] K. He, X. Zhang, S. Ren, and J. Sun, “Spatial pyramid pooling in deep convolutional networks for visual recognition,” in European Conference on Computer Vision (ECCV), 2014.
[2] R. Girshick, “Fast R-CNN,” in IEEE International Conference on Computer Vision (ICCV), 2015.
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[23] P.Arbel´aez,J.Pont-Tuset,J.T.Barron,F.Marques,andJ.Malik, “Multiscale combinatorial grouping,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
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[37] A. Krizhevsky, I. Sutskever, and G. Hinton, “Imagenet classification with deep convolutional neural networks,” in Neural Information Processing Systems (NIPS), 2012.
[38] Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell, “Caffe: Convolutional architectureforfastfeatureembedding,”arXiv:1408.5093,2014.
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待续。。。

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