What makes a good detector? Structured priors for learning from few examples

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

Volumn 7576 LNCS, Issue PART 5, 2012, Pages 354-367

  Gao, Tianshi ^a   Stark, Michael ^a,b   Koller, Daphne ^a  

^a STANFORD UNIVERSITY   (United States)

^b MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; HEAVY-TAILED; IN-DEPTH ANALYSIS; LOW-LEVEL FEATURES; MANUAL INTERVENTION; OBJECT CLASS; TRAINING DATA; TRAINING EXAMPLE; TRANSFER LEARNING;

DETECTORS;

COMPUTER VISION;

EID: 84867857977     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33715-4_26     Document Type: Conference Paper

References (30)

1. Everingham, M., van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: The pascal visual object classes (voc) challenge. In: IJCV (2010)
2. Wang, G., Forsyth, D., Hoiem, D.: Comparative object similarity for improved recognition with few or no examples. In: CVPR (2010)
3. Salakhutdinov, R., Torralba, A., Tenenbaum, J.: Learning to share visual appearance for multiclass object detection. In: CVPR (2011)
4. Lim, J.J., Salakhutdinov, R., Torralba, A.: Transfer learning by borrowing examples for multiclass object detection. In: NIPS (2011)
5. Torralba, A., Murphy, K., Freeman, W.: Sharing visual features for multiclass and multiview object detection. In: CVPR (2004)
6. Luo, J., Tommasi, T., Caputo, B.: Multiclass transfer learning from unconstrained priors. In: ICCV (2011)
7. Lampert, C.H., Nickisch, H., Harmeling, S.: Learning to detect unseen object classes by between-class attribute transfer. In: CVPR (2009)
8. Farhadi, A., Endres, I., Hoiem, D.: Attribute-centric recognition for cross-category generalization. In: CVPR (2010)
9. Wang, Y., Mori, G.: A Discriminative Latent Model of Object Classes and Attributes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part V. LNCS, vol. 6315, pp. 155-168. Springer, Heidelberg (2010)
10. Rohrbach, M., Stark, M., Schiele, B.: Evaluating knowledge transfer and zero-shot learning in a large-scale setting. In: CVPR (2011)
11. Levi, K., Fink, M., Weiss, Y.: Learning from a small number of training examples by exploiting object categories. In: LCVPR (2004)
12. Zweig, A., Weinshall, D.: Exploiting object hierarchy: Combining models from different category levels. In: ICCV (2007)
13. Li, L.J., Wang, C., Lim, Y., Blei, D., Fei-Fei, L.: Building and using a semantivisual image hierarchy. In: CVPR (2010)
14. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: CVPR (2005)
15. Felzenszwalb, P., Girshick, R., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part based models. PAMI (2010)
16. Aytar, Y., Zisserman, A.: Tabula rasa: Model transfer for object category detection. In: ICCV (2011)
17. Stark, M., Goesele, M., Schiele, B.: A shape-based object class model for knowledge transfer. In: ICCV (2009)
18. Bart, E., Ullman, S.: Cross-generalization: Learning novel classes from a single example by feature replacement. In: CVPR (2005)
19. Ferrari, V., Zisserman, A.: Learning visual attributes. In: NIPS (2007)
20. Berg, T.L., Berg, A.C., Shih, J.: Automatic Attribute Discovery and Characterization from Noisy Web Data. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 663-676. Springer, Heidelberg (2010)
21. Tommasi, T., Orabona, F., Caputo, B.: Safety in numbers: Learning categories from few examples with multi model knowledge transfer. In: CVPR (2010)
22. Marszalek, M., Schmid, C.: Semantic hierarchies for visual object recognition. In: CVPR (2007)
23. Bart, E., Ullman, S.: Single-example learning of novel classes using representation by similarity. In: BMVC (2005)
24. Miller, E., Matsakis, N., Viola, P.: Learning from One Example Through Shared Densities on Transforms. In: CVPR (2000)
25. Fei-Fei, L., Fergus, R., Perona, P.: One-shot learning of object categories. PAMI 28, 594-611 (2006)
26. Raina, R., Ng, A.Y., Koller, D.: Constructing informative priors using transfer learning. In: ICML (2006)
27. Elidan, G., Packer, B., Heitz, G., Koller, D.: Convex point estimation using undirected bayesian transfer hierarchies. In: UAI (2008)
28. Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles and Techniques. MIT Press (2009)
29. Fellbaum, C.: WordNet: An Electronical Lexical Database. The MIT Press (1998)
30. Gabrilovich, E., Markovitch, S.: Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis. In: IJCAI (2007)