• Laser & Optoelectronics Progress
  • Vol. 59, Issue 22, 2215009 (2022)
Lingzhi Yu* and Xifan Zhang
Author Affiliations
  • School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
  • show less
    DOI: 10.3788/LOP202259.2215009 Cite this Article Set citation alerts
    Lingzhi Yu, Xifan Zhang. Cross-Domain Spatial Co-Attention Network for Sketch-Based Image Retrieval[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2215009 Copy Citation Text show less
    References

    [1] Chang S K, Hsu A. Image information systems: where do we go from here?[J]. IEEE Transactions on Knowledge and Data Engineering, 4, 431-442(1992).

    [2] Saavedra J M, Bustos B. Sketch-based image retrieval using keyshapes[J]. Multimedia Tools and Applications, 73, 2033-2062(2014).

    [3] Hu R, Collomosse J. A performance evaluation of gradient field HOG descriptor for sketch based image retrieval[J]. Computer Vision and Image Understanding, 117, 790-806(2013).

    [4] Hu R, Wang T H, Collomosse J. A bag-of-regions approach to sketch-based image retrieval[C], 3661-3664(2011).

    [5] Saavedra J M, Bustos B. An improved histogram of edge local orientations for sketch-based image retrieval[M]. Goesele M, Roth S, Kuijper A, et al. Pattern recognition. Lecture notes in computer science, 6376, 432-441(2010).

    [6] Hu R, Barnard M, Collomosse J. Gradient field descriptor for sketch based retrieval and localization[C], 1025-1028(2010).

    [7] Yu Q, Yang Y X, Song Y Z et al. Sketch-a-net that beats humans[C], 1-12(2015).

    [8] Yu Q, Liu F, Song Y Z et al. Sketch me that shoe[C], 799-807(2016).

    [9] Schroff F, Kalenichenko D, Philbin J. FaceNet: a unified embedding for face recognition and clustering[C], 815-823(2015).

    [10] Zhang J Y, Shen F M, Liu L et al. Generative domain-migration hashing for sketch-to-image retrieval[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11206, 304-321(2018).

    [11] Lei J J, Song Y X, Peng B et al. Semi-heterogeneous three-way joint embedding network for sketch-based image retrieval[J]. IEEE Transactions on Circuits and Systems for Video Technology, 30, 3226-3237(2020).

    [12] Zhang W X, Zhu Z C, Zhang Y H et al. Cell image segmentation method based on residual block and attention mechanism[J]. Acta Optica Sinica, 40, 1710001(2020).

    [13] Xu Z G, Yan J J, Zhu H L. Mural image super resolution reconstruction based on multi-scale residual attention network[J]. Laser & Optoelectronics Progress, 57, 161012(2020).

    [14] Ju M R, Luo J N, Wang Z B et al. Multi-scale target detection algorithm based on attention mechanism[J]. Acta Optica Sinica, 40, 1315002(2020).

    [15] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11211, 3-19(2018).

    [16] Song Y X, Lei J J, Peng B et al. Edge-guided cross-domain learning with shape regression for sketch-based image retrieval[J]. IEEE Access, 7, 32393-32399(2019).

    [17] Sangkloy P, Burnell N, Ham C et al. The sketchy database: learning to retrieve badly drawn bunnies[J]. ACM Transactions on Graphics, 35, 1-12(2016).

    [18] Liu L, Shen F M, Shen Y M et al. Deep sketch hashing: fast free-hand sketch-based image retrieval[C], 2298-2307(2017).

    [19] Eitz M, Hays J, Alexa M. How do humans sketch objects?[J]. ACM Transactions on Graphics, 31, 1-10(2012).

    [20] Zhang H, Liu S, Zhang C Q et al. SketchNet: sketch classification with web images[C], 1105-1113(2016).

    [21] Wang F, Kang L, Li Y. Sketch-based 3D shape retrieval using Convolutional Neural Networks[C], 1875-1883(2015).

    [22] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C], 886-893(2005).

    [23] Saavedra J M. Sketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO)[C], 2998-3002(2014).

    [24] Saavedra J M, Barrios J M. Sketch based Image Retrieval using Learned KeyShapes (LKS)[C], 7(2015).

    [25] Qi Y G, Song Y Z, Zhang H G et al. Sketch-based image retrieval via Siamese convolutional neural network[C], 2460-2464(2016).

    Lingzhi Yu, Xifan Zhang. Cross-Domain Spatial Co-Attention Network for Sketch-Based Image Retrieval[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2215009
    Download Citation