Acta Optica Sinica, Volume. 39, Issue 8, 0828002(2019)

Zero-Shot Classification Method for Remote-Sensing Scenes Based on Word Vector Consistent Fusion

Chen Wu1, Guang Yu2、*, Fengjing Zhang2, Yu Liu2, Yuwei Yuan3, and Jicheng Quan2
Author Affiliations
  • 1 Naval Aviation University, Yantai, Shandong 264001, China
  • 2 Aviation University of Air Force, Changchun, Jilin 130022, China
  • 3 The 91977 of PLA, Beijing 102200, China
  • show less
    References(21)

    [4] Xian Y Q, Akata Z, Sharma G et al. Latent embeddings for zero-shot classification. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 69-77(2016).

    [5] Wang D, Li Y N, Lin Y T et al. Relational knowledge transfer for zero-shot learning. [C]∥Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. California: AAAI, 2145-2151(2016).

    [6] Zhang Z M, Saligrama V. Zero-shot learning via joint latent similarity embedding. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 6034-6042(2016).

    [7] Zhang Z M, Saligrama V. Zero-shot learning via semantic similarity embedding. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile, USA. New York: IEEE, 4166-4174(2015).

    [9] Li Y N, Wang D H, Hu H H et al. Zero-shot recognition using dual visual-semantic mapping paths. [C]∥2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 3279-3287(2017).

    [10] Zhao B, Wu B T, Wu T F et al. Zero-shot learning posed as a missing data problem. [C]∥2017 IEEE International Conference on Computer Vision Workshops (ICCVW), October 22-29, 2017, Venice, Italy. New York: IEEE, 2616-2622(2017).

    [12] Socher R, Ganjoo M, Manning C D et al. Zero-shot learning through cross-modal transfer. [C]∥26th International Conference on Neural Information Processing Systems, December 5-10, 2013, Lake Tahoe, Nevada. [S.l.: s.n.], 935-943(2013).

    [13] Mikolov T, Chen K, Corrado G et al. -09-07)[2019-03-01]. https:∥arxiv., org/abs/1301, 3781(2013).

    [14] Pennington J, Socher R, Manning C. Glove: global vectors for word representation. [C]∥Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2014, Doha, Qatar. [S.l.: s.n.], 1532-1543(2014).

    [18] Yang Y, Newsam S. Bag-of-visual-words and spatial extensions for land-use classification. [C]∥Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems-GIS'10, November 2-5, 2010, San Jose, California, USA. New York: IEEE, 270-279(2010).

    [21] Simonyan K. -04-10)[2019-03-01]. https:∥arxiv., org/abs/1409, 1556(2015).

    Tools

    Get Citation

    Copy Citation Text

    Chen Wu, Guang Yu, Fengjing Zhang, Yu Liu, Yuwei Yuan, Jicheng Quan. Zero-Shot Classification Method for Remote-Sensing Scenes Based on Word Vector Consistent Fusion[J]. Acta Optica Sinica, 2019, 39(8): 0828002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Mar. 15, 2019

    Accepted: Apr. 15, 2019

    Published Online: Aug. 7, 2019

    The Author Email: Yu Guang (1471612866@qq.com)

    DOI:10.3788/AOS201939.0828002

    Topics