Fully convolutional networks for semantic segmentation

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn 07-12-June-2015, Issue , 2015, Pages 431-440

  Long, Jonathan ^a   Shelhamer, Evan ^a   Darrell, Trevor ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; CONVOLUTION; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; PIXELS; SEMANTIC WEB; SEMANTICS;

CLASSIFICATION NETWORKS; CONVOLUTIONAL NETWORKS; FINE TUNING; PREDICTION TASKS; SEMANTIC INFORMATION; SEMANTIC SEGMENTATION; STATE OF THE ART; VISUAL MODEL;

CONVOLUTIONAL NEURAL NETWORKS;

EID: 84959205572     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2015.7298965     Document Type: Conference Paper

References (39)

1. C. M. Bishop. Pattern recognition and machine learning, page 229. Springer-Verlag New York, 2006
2. D. C. Ciresan, A. Giusti, L. M. Gambardella, and J. Schmidhuber. Deep neural networks segment neuronal membranes in electron microscopy images. In NIPS, pages 2852-2860, 2012
3. 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. In ICML, 2014
4. D. Eigen, D. Krishnan, and R. Fergus. Restoring an image taken through a window covered with dirt or rain. In Computer Vision (ICCV), 2013 IEEE International Conference on, pages 633-640. IEEE, 2013
5. D. Eigen, C. Puhrsch, and R. Fergus. Depth map prediction from a single image using a multi-scale deep network. arXiv preprint arXiv:1406. 2283, 2014
6. M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman. The PASCAL Visual Object Classes Challenge 2011 (VOC2011) Results. http://www. pascalnetwork. org/challenges/VOC/voc2011/workshop/index. html
7. C. Farabet, C. Couprie, L. Najman, and Y. LeCun. Learning hierarchical features for scene labeling. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2013
8. P. Fischer, A. Dosovitskiy, and T. Brox. Descriptor matching with convolutional neural networks: a comparison to SIFT. CoRR, abs/1405. 5769, 2014
9. Y. Ganin and V. Lempitsky. N4-fields: Neural network nearest neighbor fields for image transforms. In ACCV, 2014
10. R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In Computer Vision and Pattern Recognition, 2014
11. A. Giusti, D. C. Ciresan, J. Masci, L. M. Gambardella, and J. Schmidhuber. Fast image scanning with deep max-pooling convolutional neural networks. In ICIP, 2013
12. S. Gupta, P. Arbelaez, and J. Malik. Perceptual organization and recognition of indoor scenes from RGB-D images. In CVPR, 2013
13. S. Gupta, R. Girshick, P. Arbelaez, and J. Malik. Learning rich features from RGB-D images for object detection and segmentation. In ECCV. Springer, 2014
14. B. Hariharan, P. Arbelaez, L. Bourdev, S. Maji, and J. Malik. Semantic contours from inverse detectors. In International Conference on Computer Vision (ICCV), 2011
15. B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik. Simultaneous detection and segmentation. In European Conference on Computer Vision (ECCV), 2014
16. B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik. Hypercolumns for object segmentation and fine-grained localization. In Computer Vision and Pattern Recognition, 2015
17. K. He, X. Zhang, S. Ren, and J. Sun. Spatial pyramid pooling in deep convolutional networks for visual recognition. In ECCV, 2014
18. Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv:1408. 5093, 2014
19. J. J. Koenderink and A. J. van Doorn. Representation of local geometry in the visual system. Biological cybernetics, 55(6):367-375, 1987
20. A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, 2012
21. Y. LeCun, B. Boser, J. Denker, D. Henderson, R. E. Howard, W. Hubbard, and L. D. Jackel. Backpropagation applied to hand-written zip code recognition. In Neural Computation, 1989
22. Y. A. LeCun, L. Bottou, G. B. Orr, and K.-R. Müller. Efficient backprop. In Neural networks: Tricks of the trade, pages 9-48. Springer, 1998
23. C. Liu, J. Yuen, and A. Torralba. Sift flow: Dense correspondence across scenes and its applications. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 33(5):978-994, 2011
24. J. Long, N. Zhang, and T. Darrell. Do convnets learn correspondence? In NIPS, 2014
25. S. Mallat. A wavelet tour of signal processing. Academic press, 2nd edition, 1999
26. O. Matan, C. J. Burges, Y. LeCun, and J. S. Denker. Multidigit recognition using a space displacement neural network. In NIPS, pages 488-495. Citeseer, 1991
27. F. Ning, D. Delhomme, Y. LeCun, F. Piano, L. Bottou, and P. E. Barbano. Toward automatic phenotyping of developing embryos from videos. Image Processing, IEEE Transactions on, 14(9):1360-1371, 2005
28. P. H. Pinheiro and R. Collobert. Recurrent convolutional neural networks for scene labeling. In ICML, 2014
29. P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. In ICLR, 2014
30. N. Silberman, D. Hoiem, P. Kohli, and R. Fergus. Indoor segmentation and support inference from rgbd images. In ECCV, 2012
31. K. Simonyan and A. Zisserman. Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409. 1556, 2014
32. C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. CoRR, abs/1409. 4842, 2014
33. J. Tighe and S. Lazebnik. Superparsing: scalable nonparametric image parsing with superpixels. In ECCV, pages 352-365. Springer, 2010
34. J. Tighe and S. Lazebnik. Finding things: Image parsing with regions and per-exemplar detectors. In CVPR, 2013
35. J. Tompson, A. Jain, Y. LeCun, and C. Bregler. Joint training of a convolutional network and a graphical model for human pose estimation. CoRR, abs/1406. 2984, 2014
36. L. Wan, M. Zeiler, S. Zhang, Y. L. Cun, and R. Fergus. Regularization of neural networks using dropconnect. In Proceedings of the 30th International Conference on Machine Learning (ICML-13), pages 1058-1066, 2013
37. R. Wolf and J. C. Platt. Postal address block location using a convolutional locator network. Advances in Neural Information Processing Systems, pages 745-745, 1994
38. M. D. Zeiler and R. Fergus. Visualizing and understanding convolutional networks. In Computer Vision-ECCV 2014, pages 818-833. Springer, 2014
39. N. Zhang, J. Donahue, R. Girshick, and T. Darrell. Partbased r-cnns for fine-grained category detection. In Computer Vision-ECCV 2014, pages 834-849. Springer, 2014.