Feedback Networks

Preprint English OPEN
Zamir, Amir R.; Wu, Te-Lin; Sun, Lin; Shen, William; Malik, Jitendra; Savarese, Silvio;
  • Subject: Computer Science - Computer Vision and Pattern Recognition

Currently, the most successful learning models in computer vision are based on learning successive representations followed by a decision layer. This is usually actualized through feedforward multilayer neural networks, e.g. ConvNets, where each layer forms one of such ... View more
  • References (48)
    48 references, page 1 of 5

    [1] M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele. 2d human pose estimation: New benchmark and state of the art analysis. In 2014 IEEE Conference on Computer Vision and Pattern Recognition, pages 3686-3693. IEEE, 2014.

    [2] S. J. Ashford and L. L. Cummings. Feedback as an individual resource: Personal strategies of creating information. Organizational behavior and human performance, 32(3):370- 398, 1983.

    [3] V. Belagiannis and A. Zisserman. Recurrent human pose estimation. arXiv preprint arXiv:1605.02914, 2016.

    [4] Y. Bengio, J. Louradour, R. Collobert, and J. Weston. Curriculum learning. In Proceedings of the 26th annual international conference on machine learning, pages 41-48. ACM, 2009.

    [5] C. Cao, X. Liu, Y. Yang, Y. Yu, J. Wang, Z. Wang, Y. Huang, L. Wang, C. Huang, W. Xu, et al. Look and think twice: Capturing top-down visual attention with feedback convolutional neural networks. In Proceedings of the IEEE International Conference on Computer Vision, pages 2956-2964, 2015.

    [6] J. Carreira, P. Agrawal, K. Fragkiadaki, and J. Malik. Human pose estimation with iterative error feedback. arXiv preprint arXiv:1507.06550, 2015.

    [7] R. M. Cichy, D. Pantazis, and A. Oliva. Resolving human object recognition in space and time. Nature neuroscience, 17(3):455-462, 2014.

    [8] J. Deng, N. Ding, Y. Jia, A. Frome, K. Murphy, S. Bengio, Y. Li, H. Neven, and H. Adam. Large-scale object classification using label relation graphs. In European Conference on Computer Vision, pages 48-64. Springer, 2014.

    [9] 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.

    [10] N. Ding, J. Deng, K. P. Murphy, and H. Neven. Probabilistic label relation graphs with ising models. In Proceedings of the IEEE International Conference on Computer Vision, pages 1161-1169, 2015.

  • Related Organizations (7)
  • Metrics
Share - Bookmark