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Volumn 108, Issue 1-2, 2014, Pages 3-29

The ignorant led by the blind: A hybrid human-machine vision system for fine-grained categorization

Author keywords

Attributes; Birds; Crowdsourcing; Deformable part models; Fine grained categorization; Human in the loop; Information gain; Interactive; Object recognition; Parts; Pose mixture models

Indexed keywords

ALGORITHMS; BIRDS; HYBRID SYSTEMS; OBJECT RECOGNITION;

EID: 84900864212     PISSN: 09205691     EISSN: 15731405     Source Type: Journal    
DOI: 10.1007/s11263-014-0698-4     Document Type: Article
Times cited : (77)

References (78)
  • 2
    • 84887356895 scopus 로고    scopus 로고
    • Poof: Part-based one-vs-one features for fine-grained categorization, face verification, and attribute estimation
    • Berg, T.; Belhumeur, P.N. (2013). Poof: Part-based one-vs-one features for fine-grained categorization, face verification, and attribute estimation. In CVPR.
    • (2013) CVPR
    • Berg, T.1    Belhumeur, P.N.2
  • 4
    • 77956002528 scopus 로고    scopus 로고
    • Poselets: Body part detectors trained using 3d annotations
    • Bourdev, L.; Malik, J. (2009). Poselets: Body part detectors trained using 3d annotations. In ICCV.
    • (2009) ICCV
    • Bourdev, L.1    Malik, J.2
  • 5
    • 85057843922 scopus 로고    scopus 로고
    • Strong supervision from weak annotation
    • Branson, S.; Perona, P.; Belongie, S. (2011). Strong supervision from weak annotation. In ICCV.
    • (2011) ICCV
    • Branson, S.1    Perona, P.2    Belongie, S.3
  • 7
    • 84900847694 scopus 로고    scopus 로고
    • Bicos: A bi-level co-segmentation method
    • Chai, Y.; Lempitsky, V.; Zisserman, A. (2011). Bicos: A bi-level co-segmentation method. In ICCV.
    • (2011) ICCV
    • Chai, Y.1    Lempitsky, V.2    Zisserman, A.3
  • 8
    • 84898771336 scopus 로고    scopus 로고
    • Symbiotic segmentation and part localization for fine-grained categorization
    • Chai, Y.; Lempitsky, V.; Zisserman, A. (2013). Symbiotic segmentation and part localization for fine-grained categorization. In ICCV.
    • (2013) ICCV
    • Chai, Y.1    Lempitsky, V.2    Zisserman, A.3
  • 10
    • 0033897023 scopus 로고    scopus 로고
    • The bayesian image retrieval system, pichunter: Theory, implementation, and psychophysical experiments
    • Cox, I.J.; Miller, M.L.; Minka, T.P.; Papathomas, T.V.; Yianilos, P.N. (2000). The bayesian image retrieval system, pichunter: Theory, implementation, and psychophysical experiments. Image processing.
    • (2000) Image Processing
    • Cox, I.J.1    Miller, M.L.2    Minka, T.P.3    Papathomas, T.V.4    Yianilos, P.N.5
  • 11
    • 84856671941 scopus 로고    scopus 로고
    • Annotator rationales for visual recognition
    • Donahue, J.; Grauman, K. (2011). Annotator rationales for visual recognition. In ICCV.
    • (2011) ICCV
    • Donahue, J.1    Grauman, K.2
  • 12
    • 80052883815 scopus 로고    scopus 로고
    • Combining attributes and fisher vectors for efficient image retrieval
    • Douze, M.; Ramisa, A.; Schmid, C. (2011). Combining attributes and fisher vectors for efficient image retrieval. In CVPR.
    • (2011) CVPR
    • Douze, M.1    Ramisa, A.2    Schmid, C.3
  • 13
    • 84866719272 scopus 로고    scopus 로고
    • Discovering localized attributes for fine-grained recognition
    • Duan, K.; Parikh, D.; Crandall, D.; Grauman, K. (2012). Discovering localized attributes for fine-grained recognition. In CVPR.
    • (2012) CVPR
    • Duan, K.1    Parikh, D.2    Crandall, D.3    Grauman, K.4
  • 14
    • 84900855291 scopus 로고    scopus 로고
    • Experiments in mental face retrieval
    • Fang, Y.; Geman, D. (2005). Experiments in mental face retrieval. In AVBPA.
    • (2005) AVBPA
    • Fang, Y.1    Geman, D.2
  • 15
    • 84900846992 scopus 로고    scopus 로고
    • Attribute-centric recognition for generalization
    • Farhadi, A.; Endres, I.; Hoiem, D. (2010). Attribute-centric recognition for generalization. In CVPR.
    • (2010) CVPR
    • Farhadi, A.1    Endres, I.2    Hoiem, D.3
  • 18
    • 84856659157 scopus 로고    scopus 로고
    • Efficient matching of pictorial structures
    • Felzenszwalb, P.; Huttenlocher, D. (2002). Efficient matching of pictorial structures. In CVPR.
    • (2002) CVPR
    • Felzenszwalb, P.1    Huttenlocher, D.2
  • 19
    • 51949101231 scopus 로고    scopus 로고
    • A discriminatively trained, multiscale, deformable part model
    • Felzenszwalb, P.; McAllester, D.; Ramanan, D. (2008). A discriminatively trained, multiscale, deformable part model. In CVPR.
    • (2008) CVPR
    • Felzenszwalb, P.1    McAllester, D.2    Ramanan, D.3
  • 20
    • 84900847254 scopus 로고    scopus 로고
    • Interactive search by mental matching
    • Ferecatu, M.; Geman, D. (2007). Interactive search by mental matching. In ICCV.
    • (2007) ICCV
    • Ferecatu, M.1    Geman, D.2
  • 21
    • 65549145185 scopus 로고    scopus 로고
    • A statistical framework for image category search from a mental picture
    • Ferecatu, M.; Geman, D. (2009). A statistical framework for image category search from a mental picture. In PAMI.
    • (2009) PAMI
    • Ferecatu, M.1    Geman, D.2
  • 24
    • 0029752066 scopus 로고    scopus 로고
    • An active testing model for tracking roads in satellite images
    • Geman, D.; Jedynak, B. (1996). An active testing model for tracking roads in satellite images. In PAMI.
    • (1996) PAMI
    • Geman, D.1    Jedynak, B.2
  • 25
    • 84872140026 scopus 로고    scopus 로고
    • Twenty questions with noise: Bayes optimal policies for entropy loss
    • 10.1239/jap/1331216837 06026104 2952885
    • Jedynak, B.; Frazier, P. I.; Sznitman, R. (2012). Twenty questions with noise: Bayes optimal policies for entropy loss. Journal of Applied Probability, 49(1), 114-136.
    • (2012) Journal of Applied Probability , vol.49 , Issue.1 , pp. 114-136
    • Jedynak, B.1    Frazier, P.I.2    Sznitman, R.3
  • 28
    • 77951193770 scopus 로고    scopus 로고
    • Facetracer: A search engine for large collections of images with faces
    • Kumar, N.; Belhumeur, P.; Nayar, S. (2008). Facetracer: A search engine for large collections of images with faces. In ECCV.
    • (2008) ECCV
    • Kumar, N.1    Belhumeur, P.2    Nayar, S.3
  • 29
    • 77953185711 scopus 로고    scopus 로고
    • Attribute and simile classifiers for face verification
    • Kumar, N.; Berg, A.C.; Belhumeur, P.N.; Nayar, S.K. (2009). Attribute and simile classifiers for face verification. In ICCV.
    • (2009) ICCV
    • Kumar, N.1    Berg, A.C.2    Belhumeur, P.N.3    Nayar, S.K.4
  • 30
  • 31
    • 78149485390 scopus 로고    scopus 로고
    • Haar random forest features and svm spatial matching kernel for stonefly species identification
    • Larios, N.; Soran, B.; Shapiro, L.G.; Martinez-Munoz, G.; Lin, J.; Dietterich, T.G. (2010). Haar random forest features and svm spatial matching kernel for stonefly species identification. In ICPR.
    • (2010) ICPR
    • Larios, N.1    Soran, B.2    Shapiro, L.G.3    Martinez-Munoz, G.4    Lin, J.5    Dietterich, T.G.6
  • 32
    • 33745854718 scopus 로고    scopus 로고
    • A maximum entropy framework for part-based texture and object recognition
    • Lazebnik, S.; Schmid, C.; Ponce, J. (2005). A maximum entropy framework for part-based texture and object recognition. In ICCV.
    • (2005) ICCV
    • Lazebnik, S.1    Schmid, C.2    Ponce, J.3
  • 33
    • 84887361274 scopus 로고    scopus 로고
    • A closed-form solution to natural image matting
    • Levin, A.; Lischinski, D.; Weiss, Y. (2007). A closed-form solution to natural image matting. In PAMI.
    • (2007) PAMI
    • Levin, A.1    Lischinski, D.2    Weiss, Y.3
  • 34
    • 84887374480 scopus 로고    scopus 로고
    • Dog breed classification using part localization
    • Liu, J.; Kanazawa, A.; Jacobs, D.; Belhumeur, P. (2012). Dog breed classification using part localization. In ECCV.
    • (2012) ECCV
    • Liu, J.1    Kanazawa, A.2    Jacobs, D.3    Belhumeur, P.4
  • 35
    • 0034444581 scopus 로고    scopus 로고
    • A unified framework for semantics and feature based relevance feedback in image retrieval systems
    • Lu, Y.; Hu, C.; Zhu, X.; Zhang, H.; Yang, Q. (2000). A unified framework for semantics and feature based relevance feedback in image retrieval systems. In ACM Multimedia.
    • (2000) ACM Multimedia
    • Lu, Y.1    Hu, C.2    Zhu, X.3    Zhang, H.4    Yang, Q.5
  • 36
    • 84962849610 scopus 로고    scopus 로고
    • Discovering a lexicon of parts and attributes
    • Maji, S. (2012). Discovering a lexicon of parts and attributes. In ECCV Parts and Attributes.
    • (2012) ECCV Parts and Attributes
    • Maji, S.1
  • 38
    • 78149346655 scopus 로고    scopus 로고
    • Dictionary-free categorization of very similar objects
    • MartInez-Munoz et al. (2009). Dictionary-free categorization of very similar objects. In CVPR.
    • (2009) CVPR
    • Martinez-Munoz1
  • 39
    • 84925979370 scopus 로고
    • Order of acquisition of subordinate-, basic-, and superordinate-level categories
    • Mervis, C. B.; Crisafi, M. A. (1982). Order of acquisition of subordinate-, basic-, and superordinate-level categories. Child Development, 53(1), 256-266.
    • (1982) Child Development , vol.53 , Issue.1 , pp. 256-266
    • Mervis, C.B.1    Crisafi, M.A.2
  • 40
    • 84900848803 scopus 로고    scopus 로고
    • Automated flower classification
    • Nilsback, M.; Zisserman, A. (2008). Automated flower classification. In ICVGIP.
    • (2008) ICVGIP
    • Nilsback, M.1    Zisserman, A.2
  • 41
    • 33845570201 scopus 로고    scopus 로고
    • A visual vocabulary for flower classification
    • Nilsback, M.E.; Zisserman, A. (2006). A visual vocabulary for flower classification. In CVPR.
    • (2006) CVPR
    • Nilsback, M.E.1    Zisserman, A.2
  • 42
    • 80052912053 scopus 로고    scopus 로고
    • Shared parts for deformable part-based models
    • Ott, P.; Everingham, M. (2011). Shared parts for deformable part-based models. In CVPR.
    • (2011) CVPR
    • Ott, P.1    Everingham, M.2
  • 43
    • 84900851669 scopus 로고    scopus 로고
    • Interactively building a vocabulary of attributes
    • Parikh, D.; Grauman, K. (2011). Interactively building a vocabulary of attributes. In CVPR.
    • (2011) CVPR
    • Parikh, D.1    Grauman, K.2
  • 44
  • 45
    • 84898822628 scopus 로고    scopus 로고
    • Implied feedback: Learning nuances of user behavior in image search
    • Parikh, D.; Grauman, K. (2013). Implied feedback: Learning nuances of user behavior in image search. In ICCV.
    • (2013) ICCV
    • Parikh, D.1    Grauman, K.2
  • 46
    • 80052886153 scopus 로고    scopus 로고
    • Finding the weakest link in person detectors
    • Parikh, D.; Zitnick, C.L. (2011a). Finding the weakest link in person detectors. In CVPR.
    • (2011) CVPR
    • Parikh, D.1    Zitnick, C.L.2
  • 48
    • 84887393691 scopus 로고    scopus 로고
    • Attributes for classifier feedback
    • Parkash, A.; Parikh, D. (2012). Attributes for classifier feedback. In ECCV.
    • (2012) ECCV
    • Parkash, A.1    Parikh, D.2
  • 52
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for svms
    • Platt, J.C. (1999). Probabilistic outputs for svms. In ALMC.
    • (1999) ALMC
    • Platt, J.C.1
  • 57
    • 73849085669 scopus 로고    scopus 로고
    • Grabcut: Interactive foreground extraction
    • Rother, C.; Kolmogorov, V.; Blake, A. (2004). Grabcut: Interactive foreground extraction. In TOG.
    • (2004) TOG
    • Rother, C.1    Kolmogorov, V.2    Blake, A.3
  • 61
    • 77956064399 scopus 로고    scopus 로고
    • Active testing for face detection and localization
    • Sznitman, R.; Jedynak, B. (2010). Active testing for face detection and localization. In PAMI.
    • (2010) PAMI
    • Sznitman, R.1    Jedynak, B.2
  • 62
    • 84890520064 scopus 로고    scopus 로고
    • A collaborative 20 questions model for target search with human-machine interaction
    • Tsiligkaridis, T.; Sadler, B.; Hero, A. (2013). A collaborative 20 questions model for target search with human-machine interaction. In ICASSP.
    • (2013) ICASSP
    • Tsiligkaridis, T.1    Sadler, B.2    Hero, A.3
  • 63
    • 70350708534 scopus 로고    scopus 로고
    • Large margin methods for structured and interdependent output variables
    • Tsochantaridis, I.; Joachims, T.; Hofmann, T.; Altun, Y. (2006). Large margin methods for structured and interdependent output variables. In JMLR.
    • (2006) JMLR
    • Tsochantaridis, I.1    Joachims, T.2    Hofmann, T.3    Altun, Y.4
  • 66
    • 85162335218 scopus 로고    scopus 로고
    • Video Annotation and Tracking with Active Learning
    • Vondrick, C.; Ramanan, D. (2011). Video Annotation and Tracking with Active Learning. In NIPS.
    • (2011) NIPS
    • Vondrick, C.1    Ramanan, D.2
  • 67
  • 68
    • 84856635994 scopus 로고    scopus 로고
    • Multiclass recognition and part localization with humans in the loop
    • Wah, C.; Branson, S.; Perona, P.; Belongie, S. (2011). Multiclass recognition and part localization with humans in the loop. In ICCV.
    • (2011) ICCV
    • Wah, C.1    Branson, S.2    Perona, P.3    Belongie, S.4
  • 70
    • 84900868780 scopus 로고    scopus 로고
    • Joint learning of visual attributes, object classes
    • Wang, G.; Forsyth, D. (2009). Joint learning of visual attributes, object classes. In ICCV.
    • (2009) ICCV
    • Wang, G.1    Forsyth, D.2
  • 71
    • 84898919358 scopus 로고    scopus 로고
    • Learning models for object recognition from natural language descriptions
    • Wang, J.; Markert, K.; Everingham, M. (2009). Learning models for object recognition from natural language descriptions. In BMVC.
    • (2009) BMVC
    • Wang, J.1    Markert, K.2    Everingham, M.3
  • 72
    • 84856655450 scopus 로고    scopus 로고
    • SmartLabel: An object labeling tool
    • Wu, W.; Yang, J. (2006). SmartLabel: an object labeling tool. In Multimedia.
    • (2006) Multimedia
    • Wu, W.1    Yang, J.2
  • 73
    • 84870169245 scopus 로고    scopus 로고
    • Articulated pose estimation using mixtures of parts
    • Yang, Y.; Ramanan, D. (2011). Articulated pose estimation using mixtures of parts. In CVPR.
    • (2011) CVPR
    • Yang, Y.1    Ramanan, D.2
  • 74
    • 84900863364 scopus 로고    scopus 로고
    • A codebook and annotation-free approach for fgvc
    • Yao, B.; Bradski, G.; Fei-Fei, L.: A codebook and annotation-free approach for fgvc. In: CVPR (2012)
    • (2012) CVPR
    • Yao, B.1    Bradski, G.2    Fei-Fei, L.3
  • 75
    • 84900845219 scopus 로고    scopus 로고
    • Combining randomization and discrimination for fgvc
    • Yao, B.; Khosla, A.; Fei-Fei, L. (2011). Combining randomization and discrimination for fgvc. In CVPR.
    • (2011) CVPR
    • Yao, B.1    Khosla, A.2    Fei-Fei, L.3
  • 76
    • 84866662426 scopus 로고    scopus 로고
    • Pose pooling kernels for sub-category recognition
    • Zhang, N.; Farrell, R.; Darrell, T. (2012). Pose pooling kernels for sub-category recognition. In CVPR.
    • (2012) CVPR
    • Zhang, N.1    Farrell, R.2    Darrell, T.3
  • 77
    • 84898819241 scopus 로고    scopus 로고
    • Deformable part descriptors for fine-grained recognition and attribute prediction
    • Zhang, N.; Farrell, R.; Iandola, F.; Darrell, T. (2013). Deformable part descriptors for fine-grained recognition and attribute prediction. In ICCV.
    • (2013) ICCV
    • Zhang, N.1    Farrell, R.2    Iandola, F.3    Darrell, T.4
  • 78
    • 84900856082 scopus 로고    scopus 로고
    • Relevance feedback in image retrieval
    • Zhou, X.; Huang, T. (2003). Relevance feedback in image retrieval. In Multimedia.
    • (2003) Multimedia
    • Zhou, X.1    Huang, T.2


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