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Volumn 1, Issue , 2012, Pages 638-646

Shifting weights: Adapting object detectors from image to video

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN ADAPTATION; MULTIMEDIA EVENT DETECTIONS; NUMBER OF SOURCES; OBJECT DETECTORS; ROBUST APPROACHES; TARGET DOMAIN; TRAJECTORY TRACK; UNLABELED DATA;

EID: 84877780666     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (205)

References (35)
  • 1
    • 84905223557 scopus 로고    scopus 로고
    • Trecvid 2011 - An overview of the goals, tasks, data, evaluation mechanisms and metrics
    • NIST, USA
    • P. Over, G. Awad, M. Michel, J. Fiscus, W. Kraaij, and A. F. Smeaton. Trecvid 2011 - an overview of the goals, tasks, data, evaluation mechanisms and metrics. In TRECVID 2011. NIST, USA, 2011.
    • (2011) TRECVID 2011
    • Over, P.1    Awad, G.2    Michel, M.3    Fiscus, J.4    Kraaij, W.5    Smeaton, A.F.6
  • 2
    • 77953190737 scopus 로고    scopus 로고
    • Labelme video: Building a video database with human annotations
    • J. Yuen, B. C. Russell, C. Liu, and A. Torralba. Labelme video: Building a video database with human annotations. In ICCV, 2009.
    • (2009) ICCV
    • Yuen, J.1    Russell, B.C.2    Liu, C.3    Torralba, A.4
  • 3
    • 10044233701 scopus 로고    scopus 로고
    • Recognizing human actions: A local svm approach
    • C. Schuldt, I. Laptev, and B. Caputo. Recognizing human actions: A local svm approach. In ICPR, 2004.
    • (2004) ICPR
    • Schuldt, C.1    Laptev, I.2    Caputo, B.3
  • 5
    • 80052874353 scopus 로고    scopus 로고
    • Modeling temporal structure of decomposable motion segments for activity classification
    • J. C. Niebles, C.-W. Chen, and L. Fei-Fei. Modeling temporal structure of decomposable motion segments for activity classification. In ECCV, 2010.
    • (2010) ECCV
    • Niebles, J.C.1    Chen, C.-W.2    Fei-Fei, L.3
  • 6
    • 84866658784 scopus 로고    scopus 로고
    • Learning latent temporal structure for complex event detection
    • K. Tang, L. Fei-Fei, and D. Koller. Learning latent temporal structure for complex event detection. In CVPR, 2012.
    • (2012) CVPR
    • Tang, K.1    Fei-Fei, L.2    Koller, D.3
  • 8
    • 0019647180 scopus 로고
    • An iterative image registration technique with an application to stereo vision
    • B. D. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In IJCAI, 1981.
    • (1981) IJCAI
    • Lucas, B.D.1    Kanade, T.2
  • 10
    • 84866692736 scopus 로고    scopus 로고
    • Unsupervised incremental learning for improved object detection in a video
    • P. Sharma, C. Huang, and R. Nevatia. Unsupervised incremental learning for improved object detection in a video. In CVPR, 2012.
    • (2012) CVPR
    • Sharma, P.1    Huang, C.2    Nevatia, R.3
  • 11
    • 84866691941 scopus 로고    scopus 로고
    • Detection by detections: Non-parametric detector adaptation for a video
    • X. Wang, G. Hua, and T. X. Han. Detection by detections: Non-parametric detector adaptation for a video. In CVPR, 2012.
    • (2012) CVPR
    • Wang, X.1    Hua, G.2    Han, T.X.3
  • 12
    • 80052889456 scopus 로고    scopus 로고
    • Correspondence driven adaptation for human profile recognition
    • M. Yang, S. Zhu, F. Lv, and K. Yu. Correspondence driven adaptation for human profile recognition. In CVPR, 2011.
    • (2011) CVPR
    • Yang, M.1    Zhu, S.2    Lv, F.3    Yu, K.4
  • 15
    • 78149311717 scopus 로고    scopus 로고
    • OPTIMOL: Automatic online picture collecTion via incremental MOdel learning
    • L.-J. Li and L. Fei-Fei. OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning. IJCV, 2009.
    • (2009) IJCV
    • Li, L.-J.1    Fei-Fei, L.2
  • 16
    • 78149301639 scopus 로고    scopus 로고
    • Adapting visual category models to new domains
    • K. Saenko, B. Kulis, M. Fritz, and T. Darrell. Adapting visual category models to new domains. In ECCV, 2010.
    • (2010) ECCV
    • Saenko, K.1    Kulis, B.2    Fritz, M.3    Darrell, T.4
  • 17
    • 80052895155 scopus 로고    scopus 로고
    • What you saw is not what you get: Domain adaptation using asymmetric kernel transforms
    • B. Kulis, K. Saenko, and T. Darrell. What you saw is not what you get: Domain adaptation using asymmetric kernel transforms. In CVPR, 2011.
    • (2011) CVPR
    • Kulis, B.1    Saenko, K.2    Darrell, T.3
  • 18
    • 84863396387 scopus 로고    scopus 로고
    • Domain adaptation for object recognition: An unsupervised approach
    • R. Gopalan, R. Li, and R. Chellappa. Domain adaptation for object recognition: An unsupervised approach. In ICCV, 2011.
    • (2011) ICCV
    • Gopalan, R.1    Li, R.2    Chellappa, R.3
  • 19
    • 85161970767 scopus 로고    scopus 로고
    • Exploiting weakly-labeled web images to improve object classification: A domain adaptation approach
    • A. Bergamo and L. Torresani. Exploiting weakly-labeled web images to improve object classification: a domain adaptation approach. In NIPS, 2010.
    • (2010) NIPS
    • Bergamo, A.1    Torresani, L.2
  • 20
    • 70049090801 scopus 로고    scopus 로고
    • An empirical analysis of domain adaptation algorithms for genomic sequence analysis
    • G. Schweikert, C. Widmer, B. Schölkopf, and G. Rätsch. An empirical analysis of domain adaptation algorithms for genomic sequence analysis. In NIPS, 2008.
    • (2008) NIPS
    • Schweikert, G.1    Widmer, C.2    Schölkopf, B.3    Rätsch, G.4
  • 21
    • 37849026107 scopus 로고    scopus 로고
    • Cross-domain video concept detection using adaptive svms
    • J. Yang, R. Yan, and A. G. Hauptmann. Cross-domain video concept detection using adaptive svms. In ACM Multimedia, 2007.
    • (2007) ACM Multimedia
    • Yang, J.1    Yan, R.2    Hauptmann, A.G.3
  • 22
    • 77956003629 scopus 로고    scopus 로고
    • Visual event recognition in videos by learning from web data
    • L. Duan, D. Xu, I. W.-H. Tsang, and J. Luo. Visual event recognition in videos by learning from web data. In CVPR, 2010.
    • (2010) CVPR
    • Duan, L.1    Xu, D.2    Tsang, I.W.-H.3    Luo, J.4
  • 23
    • 1942483137 scopus 로고    scopus 로고
    • Transductive inference for text classification using support vector machines
    • T. Joachims. Transductive inference for text classification using support vector machines. In ICML, 1999.
    • (1999) ICML
    • Joachims, T.1
  • 24
    • 77956005674 scopus 로고    scopus 로고
    • Safety in numbers: Learning categories from few examples with multi model knowledge transfer
    • T. Tommasi, F. Orabona, and B. Caputo. Safety in numbers: Learning categories from few examples with multi model knowledge transfer. In CVPR, 2010.
    • (2010) CVPR
    • Tommasi, T.1    Orabona, F.2    Caputo, B.3
  • 25
    • 51949113483 scopus 로고    scopus 로고
    • Taylor expansion based classifier adaptation: Application to person detection
    • C. Zhang, R. Hamid, and Z. Zhang. Taylor expansion based classifier adaptation: Application to person detection. In CVPR, 2008.
    • (2008) CVPR
    • Zhang, C.1    Hamid, R.2    Zhang, Z.3
  • 26
    • 85161967298 scopus 로고    scopus 로고
    • Self-paced learning for latent variable models
    • P. Kumar, B. Packer, and D. Koller. Self-paced learning for latent variable models. In NIPS, 2010.
    • (2010) NIPS
    • Kumar, P.1    Packer, B.2    Koller, D.3
  • 27
    • 85162555049 scopus 로고    scopus 로고
    • Transfer learning by borrowing examples for multiclass object detection
    • J. J. Lim, R. Salakhutdinov, and A. Torralba. Transfer learning by borrowing examples for multiclass object detection. In NIPS, 2011.
    • (2011) NIPS
    • Lim, J.J.1    Salakhutdinov, R.2    Torralba, A.3
  • 28
    • 84856654322 scopus 로고    scopus 로고
    • Discriminative learning of relaxed hierarchy for large-scale visual recognition
    • T. Gao and D. Koller. Discriminative learning of relaxed hierarchy for large-scale visual recognition. In ICCV, 2011.
    • (2011) ICCV
    • Gao, T.1    Koller, D.2
  • 29
    • 84860513476 scopus 로고    scopus 로고
    • Frustratingly easy domain adaptation
    • H. D. III. Frustratingly easy domain adaptation. In ACL, 2007.
    • (2007) ACL
    • Iii, H.D.1
  • 30
    • 1942452228 scopus 로고    scopus 로고
    • Learning on the test data: Leveraging 'unseen' features
    • B. Taskar, M.-F. Wong, and D. Koller. Learning on the test data: Leveraging 'unseen' features. In ICML, 2003.
    • (2003) ICML
    • Taskar, B.1    Wong, M.-F.2    Koller, D.3
  • 31
    • 84864034729 scopus 로고    scopus 로고
    • Generalization in clustering with unobserved features
    • E. Krupka and N. Tishby. Generalization in clustering with unobserved features. In NIPS, 2005.
    • (2005) NIPS
    • Krupka, E.1    Tishby, N.2
  • 34
    • 33645146449 scopus 로고    scopus 로고
    • Histograms of oriented gradients for human detection
    • N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005.
    • (2005) CVPR
    • Dalal, N.1    Triggs, B.2


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