publication . Preprint . 2015

Understanding Intra-Class Knowledge Inside CNN

Wei, Donglai; Zhou, Bolei; Torrabla, Antonio; Freeman, William;
Open Access English
  • Published: 09 Jul 2015
Abstract
Comment: tech report for: http://vision03.csail.mit.edu/cnn_art/index.html
Subjects
free text keywords: Computer Science - Computer Vision and Pattern Recognition
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[1] P. Agrawal, R. Girshick, and J. Malik. Analyzing the performance of multilayer neural networks for object recognition. In Computer Vision-ECCV 2014, pages 329-344. Springer, 2014. 1, 4

[2] P. Baldi and P. J. Sadowski. Understanding dropout. In Advances in Neural Information Processing Systems, pages 2814-2822, 2013. 1

[3] C. Barnes, E. Shechtman, A. Finkelstein, and D. Goldman. Patchmatch: a randomized correspondence algorithm for structural image editing. ACM Transactions on GraphicsTOG, 28(3):24, 2009. 5

[4] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. FeiFei. Imagenet: A large-scale hierarchical image database. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 248-255. IEEE, 2009. 1

[5] A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097-1105, 2012. 1

[6] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998. 1

[7] J. L. Long, N. Zhang, and T. Darrell. Do convnets learn correspondence? In Advances in Neural Information Processing Systems, pages 1601-1609, 2014. 3, 5, 6

[8] A. Mahendran and A. Vedaldi. Understanding deep image representations by inverting them. CVPR, 2015. 1, 2, 3, 5, 6

[9] J. L. P. Isola and E. Adelson. Discovering states and transformations in image collections. CVPR, 2015. 2

[10] K. Simonyan, A. Vedaldi, and A. Zisserman. Deep inside convolutional networks: Visualising image classification models and saliency maps. ICLR, 2014. 1, 2, 3, 5, 6

[11] C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus. Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199, 2013. 1

Abstract
Comment: tech report for: http://vision03.csail.mit.edu/cnn_art/index.html
Subjects
free text keywords: Computer Science - Computer Vision and Pattern Recognition
Download from

[1] P. Agrawal, R. Girshick, and J. Malik. Analyzing the performance of multilayer neural networks for object recognition. In Computer Vision-ECCV 2014, pages 329-344. Springer, 2014. 1, 4

[2] P. Baldi and P. J. Sadowski. Understanding dropout. In Advances in Neural Information Processing Systems, pages 2814-2822, 2013. 1

[3] C. Barnes, E. Shechtman, A. Finkelstein, and D. Goldman. Patchmatch: a randomized correspondence algorithm for structural image editing. ACM Transactions on GraphicsTOG, 28(3):24, 2009. 5

[4] J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. FeiFei. Imagenet: A large-scale hierarchical image database. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pages 248-255. IEEE, 2009. 1

[5] A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems, pages 1097-1105, 2012. 1

[6] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. Gradientbased learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998. 1

[7] J. L. Long, N. Zhang, and T. Darrell. Do convnets learn correspondence? In Advances in Neural Information Processing Systems, pages 1601-1609, 2014. 3, 5, 6

[8] A. Mahendran and A. Vedaldi. Understanding deep image representations by inverting them. CVPR, 2015. 1, 2, 3, 5, 6

[9] J. L. P. Isola and E. Adelson. Discovering states and transformations in image collections. CVPR, 2015. 2

[10] K. Simonyan, A. Vedaldi, and A. Zisserman. Deep inside convolutional networks: Visualising image classification models and saliency maps. ICLR, 2014. 1, 2, 3, 5, 6

[11] C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus. Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199, 2013. 1

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