MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training

De-An Huang, Zhiding Yu, Anima Anandkumar. MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{HuangYA22,
  title = {MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training},
  author = {De-An Huang and Zhiding Yu and Anima Anandkumar},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/ca9567d8ef6b2ea2da0d7eed57b933ee-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/HuangYA22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}