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Chatfield K, Simonyan K, Vedaldi A, et al. Return of the devil in the details: delving deep into convolutional nets. In: Proceedings of British Machine Vision Conference, 2014
Chin T J, Yu J, Suter D. Accelerated hypothesis generation for multistructure data via preference analysis. IEEE Trans Pattern Anal Mach Intell, 2012, 34: 625–638
Gorelick L, Boykov Y, Veksler O, et al. Submodularization for binary pairwise energies. In: Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recogition, 2014. 1154–1161
This work was supported by National Key Research & Development Program of China (Grant No. 2016YFB0502002), National Natural Science Foundation of China (Grant Nos. 61333015, 61772444, 61472419), Open Project Program of the National Laboratory of Pattern Recognition (Grant No. 201700004), Natural Science Foundation of Henan Province (Grant No. 162300410347), Key Scientific and Technological Project of Henan Province (Grant No. 162102310589), and College Key Research Project of Henan Province (Grant Nos. 17A520018, 17A520019).
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Wang, W., Gao, W. & Hu, Z. Effectively modeling piecewise planar urban scenes based on structure priors and CNN. Sci. China Inf. Sci. 62, 29102 (2019). https://doi.org/10.1007/s11432-017-9473-5