MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders

Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang 0006, Shu Liu 0005, Ying-Cong Chen. MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders. In Ales Leonardis, Elisa Ricci 0001, Stefan Roth 0001, Olga Russakovsky, Torsten Sattler, Gül Varol, editors, Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXX. Volume 15128 of Lecture Notes in Computer Science, pages 314-330, Springer, 2024. [doi]

@inproceedings{LinJCZLC24,
  title = {MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders},
  author = {Baijiong Lin and Weisen Jiang and Pengguang Chen and Yu Zhang 0006 and Shu Liu 0005 and Ying-Cong Chen},
  year = {2024},
  doi = {10.1007/978-3-031-72897-6_18},
  url = {https://doi.org/10.1007/978-3-031-72897-6_18},
  researchr = {https://researchr.org/publication/LinJCZLC24},
  cites = {0},
  citedby = {0},
  pages = {314-330},
  booktitle = {Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXX},
  editor = {Ales Leonardis and Elisa Ricci 0001 and Stefan Roth 0001 and Olga Russakovsky and Torsten Sattler and Gül Varol},
  volume = {15128},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-72897-6},
}