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Sequential learning for sketch-based 3D model retrieval

  • Published:2022-01-09 Issue:3 Volume:28 Page:761-778
  • ISSN:0942-4962
  • Container-title:Multimedia Systems
  • language:en
  • Short-container-title:Multimedia Systems

Author:

Yang Hairui,Tian Yu,Yang Caifei,Wang Zhihui,Wang Lei,Li Haojie

Funder

national natural science foundation of china

dalian science and technology innovation fund

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Information Systems,Software

Reference54 articles.

1. Bai, S., Bai, X., Zhou, Z., Zhang, Z., Latecki, L.J.: GIFT: a real-time and scalable 3D shape search engine. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27–30, 2016, pp. 5023–5032. IEEE Computer Society (2016). https://doi.org/10.1109/CVPR.2016.543

2. Bai, S., Bai, X., Zhou, Z., Zhang, Z., Tian, Q., Latecki, L.J.: GIFT: towards scalable 3D shape retrieval. IEEE Trans. Multimed. 19(6), 1257–1271 (2017)

3. Banchs, R.E.: A comparative evaluation of 2D and 3D visual exploration of document search results. In: A. Jaafar, N.M. Ali, S.A.M. Noah, A.F. Smeaton, P. Bruza, Z.A. Bakar, N. Jamil, T.M.T. Sembok (eds.) Information Retrieval Technology—10th Asia Information Retrieval Societies Conference, AIRS 2014, Kuching, Malaysia, December 3–5, 2014. Proceedings, Lecture Notes in Computer Science, vol. 8870, pp. 100–111. Springer (2014). https://doi.org/10.1007/978-3-319-12844-3_9

4. Chen, J., Fang, Y.: Deep cross-modality adaptation via semantics preserving adversarial learning for sketch-based 3D shape retrieval. In: V. Ferrari, M. Hebert, C. Sminchisescu, Y. Weiss (eds.) Computer Vision—ECCV 2018—15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XIII, Lecture Notes in Computer Science, vol. 11217, pp. 624–640. Springer (2018). https://doi.org/10.1007/978-3-030-01261-8_37

5. Dai, G., Xie, J., Fang, Y.: Deep correlated holistic metric learning for sketch-based 3D shape retrieval. IEEE Trans. Image Process. 27(7), 3374–3386 (2018). https://doi.org/10.1109/TIP.2018.2817042

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