Closed heuristicus closed 6 years ago
This is partly caused by computing sequences with the combined trigraph, square and dotted reference lists.
../txt/Huang, You - 2016 - Point cloud labeling using 3d convolutional neural network.txt 17 15 352 [(1, 24), (2, 24), (3, 24), (4, 36), (5, 66), (4, 68), (1, 71), (6, 76), (3, 76), (7, 85), (8, 87), (9, 88), (10, 89), (11, 91), (2, 95), (12, 95), (13, 224), (14, 267), (1, 347), (2, 350), (3, 353), (4, 357), (5, 360), (6, 362), (7, 366), (8, 369), (9, 373), (10, 376), (11, 380), (12, 384), (13, 386), (14, 389), (651, 352)] refs end Final Huang, You - 2016 - Point cloud labeling using 3d convolutional neural network.txt References start at 346, end at 355 Total references: 3 Reference type seems to be ReferenceType.SQUARE Sequences: [(15, 347, 352, 3.0), (5, 85, 91, 0.8333333333333334), (3, 24, 24, 3)] Square refs: 32, dotted refs: 1, named refs: 0, trigraph refs: 0 [(1, 24), (2, 24), (3, 24), (4, 36), (5, 66), (4, 68), (1, 71), (6, 76), (3, 76), (7, 85), (8, 87), (9, 88), (10, 89), (11, 91), (2, 95), (12, 95), (13, 224), (14, 267), (1, 347), (2, 350), (3, 353), (4, 357), (5, 360), (6, 362), (7, 366), (8, 369), (9, 373), (10, 376), (11, 380), (12, 384), (13, 386), (14, 389)] 1: H. S. Koppula, A. Anand, T. Joachims, and A. Saxena, “Semantic labeling of 3d point clouds for indoor scenes,” in Advances in neural information processing systems, 2011, pp. 244–252. 1 2: S. Song and J. Xiao, “Sliding shapes for 3d object detection in depth images,” in Computer Vision–ECCV 2014. Springer, 2014, pp. 634– 651. 1, 2 3: H. Yokoyama, H. Date, S. Kanai, and H. Takeda, “Detection and classification of pole-like objects from mobile laser scanning data of urban environments,” International Journal of CAD/CAM, vol. 13, no. 2,
This is partly caused by computing sequences with the combined trigraph, square and dotted reference lists.