DD-Net: Dynamic Network Architecture for Optimized Curve Segmentation and Reduce Computational Redundancy

Yunxiang Cao, Li Chen, Yubo Wang, Zhida Feng, Jing Tian. DD-Net: Dynamic Network Architecture for Optimized Curve Segmentation and Reduce Computational Redundancy. In Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu 0001, Saumik Bhattacharya, Umapada Pal 0001, editors, Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIV. Volume 15324 of Lecture Notes in Computer Science, pages 401-416, Springer, 2024. [doi]

@inproceedings{CaoCWFT24,
  title = {DD-Net: Dynamic Network Architecture for Optimized Curve Segmentation and Reduce Computational Redundancy},
  author = {Yunxiang Cao and Li Chen and Yubo Wang and Zhida Feng and Jing Tian},
  year = {2024},
  doi = {10.1007/978-3-031-78383-8_27},
  url = {https://doi.org/10.1007/978-3-031-78383-8_27},
  researchr = {https://researchr.org/publication/CaoCWFT24},
  cites = {0},
  citedby = {0},
  pages = {401-416},
  booktitle = {Pattern Recognition - 27th International Conference, ICPR 2024, Kolkata, India, December 1-5, 2024, Proceedings, Part XXIV},
  editor = {Apostolos Antonacopoulos and Subhasis Chaudhuri and Rama Chellappa and Cheng-Lin Liu 0001 and Saumik Bhattacharya and Umapada Pal 0001},
  volume = {15324},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-78383-8},
}