Digital library of construction informatics and information technology in civil engineering and construction
Digital library
Paper: 682
| Paper title: | Long video-based action segmentation for earthmoving excavators using improved Temporal Convolutional Network models |
| Authors: | X Chen, S Qin, Z Bai, Y Guo, Z Yang, R Jiang, C Wu, S Su |
| Summary: | |
| Type: | conference paper |
| Year of publication: | 2022 |
| Series: | w78:2022 |
| ISSN: | 2706-6568 |
| Download paper: | /pdfs/w78-2022-paper_682.pdf |
| Citation: | X Chen, S Qin, Z Bai, Y Guo, Z Yang, R Jiang, C Wu, S Su (2022). Long video-based action segmentation for earthmoving excavators using improved Temporal Convolutional Network models. Proceedings of the 39th International Conference of CIB W78, Melbourne, Australia, 27-29 June (ISSN: 2706-6568), http://itc.scix.net/paper/682 |
hosted by University of Ljubljana
includes:
W78
includes:
W78
inspired by SciX, ported by Robert Klinc [2019]