Superpixel graph label transfer with learned distance metric

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8689 LNCS, Issue PART 1, 2014, Pages 632-647

  Gould, Stephen ^a   Zhao, Jiecheng ^a   He, Xuming ^a,b   Zhang, Yuhang ^a,c  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b CSIRO   (Australia)

^c CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS;

APPROXIMATE NEAREST NEIGHBOR; DISTANCE METRICS; FEATURE SPACE; IMAGE STRUCTURES; SEARCH ALGORITHMS; SEMANTIC SEGMENTATION; TRAINING IMAGE; TRANSFER LABELS;

IMAGE MATCHING;

EID: 84906519425     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10590-1_41     Document Type: Conference Paper

References (29)

1. He, X., Zemel, R.S., Carreira-Perpinan, M.: Multiscale conditional random fields for image labeling. In: CVPR (2004)
2. Shotton, J., Winn, J.M., Rother, C., Criminisi, A.: TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part I. LNCS, vol. 3951, pp. 1-15. Springer, Heidelberg (2006) (Pubitemid 44029764)
3. Zhang, Y., Hartley, R., Mashford, J., Burn, S.: Superpixels via pseudo-boolean optimization. In: ICCV (2011)
4. Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P., Susstrunk, S.: SLIC superpixels. Technical Report 149300, EPFL (2010)
5. Tighe, J., Lazebnik, S.: Finding things: Image parsing with regions and perexemplar detectors. In: CVPR (2013)
6. Tighe, J., Lazebnik, S.: SuperParsing: Scalable nonparametric image parsing with superpixels. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 352-365. Springer, Heidelberg (2010)
7. Zhang, H., Xiao, J., Quan, L.: Supervised label transfer for semantic segmentation of street scenes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 561-574. Springer, Heidelberg (2010)
8. Gould, S., Zhang, Y.: PatchMatchGraph: Building a graph of dense patch correspondences for label transfer. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part V. LNCS, vol. 7576, pp. 439-452. Springer, Heidelberg (2012)
9. Liu, C., Yuen, J., Torralba, A.: Nonparametric scene parsing: Label transfer via dense scene alignment. In: CVPR (2009)
10. Faktor, A., Irani, M.: "Clustering by composition" - unsupervised discovery of image categories. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part VII. LNCS, vol. 7578, pp. 474-487. Springer, Heidelberg (2012)
11. Malisiewicz, T., Efros, A.A.: Recognition by association via learning per-exemplar distances. In: CVPR (2008)
12. Malisiewicz, T., Gupta, A., Efros, A.A.: Ensemble of exemplar-svms for object detection and beyond. In: ICCV (2011)
13. Barnes, C.: PatchMatch: A Fast Randomized Matching Algorithm with Application to Image and Video. PhD thesis, Princeton University (2011)
14. Barnes, C., Shechtman, E., Finkelstein, A., Goldman, D.B.: PatchMatch: A randomized correspondence algorithm for structural image editing. In: SIGGRAPH (2009)
15. Barnes, C., Shechtman, E., Goldman, D.B., Finkelstein, A.: The generalized Patch-Match correspondence algorithm. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part III. LNCS, vol. 6313, pp. 29-43. Springer, Heidelberg (2010)
16. Weinberger, K., Saul, L.: Distance metric learning for large margin nearest neighbor classification. JMLR 10, 207-244 (2009)
17. Eigen, D., Fergus, R.: Nonparametric image parsing using adaptive neighbor sets. In: CVPR (2012)
18. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR (2005)
19. Felzenszwalb, P., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part based models. PAMI (2010)
20. Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. PAMI 24, 971-987 (2002)
21. Gould, S.: DARWIN: A framework for machine learning and computer vision research and development. JMLR 13, 3533-3537 (2012)
22. Indyk, P., Motwani, R.: Approximate nearest neighbor-towards removing the curse of dimensionality. In: 30th Symp. of Theory of Comp., pp. 604-613 (1998)
23. Zhang, H., Quan, L.: Partial similarity based nonparametric scene parsing in certain environment. In: CVPR (2011)
24. Criminisi, A.: Microsoft Research Cambridge (MSRC) object recognition pixel-wise labeled image database (version 2) (2004)
25. Gould, S., Fulton, R., Koller, D.: Decomposing a scene into geometric and semantically consistent regions. In: ICCV (2009)
26. Muja, M., Lowe, D.G.: Fast approximate nearest neighbors with automatic algorithm configuration. In: VISSAPP (2009)
27. Ladicky, L., Russell, C., Kohli, P., Torr, P.H.: Associative hierarchical random fields. PAMI (2013)
28. Ren, X., Bo, L., Fox, D.: RGB-(D) scene labeling: Features and algorithms. In: CVPR (2012)
29. Hu, J., Lu, J., Tan, Y.P.: Discriminative deep metric learning for face verification in the wild. In: CVPR (2014)