Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. Mishra, S., Panda, R., Phoo, C. P., Chen, C. R., Karlinsky, L., Saenko, K., Saligrama, V., & Feris, R. S. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022, pages 9184–9194, 2022.
Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data [link]Paper  doi  bibtex   1 download  
@inproceedings{DBLP:conf/cvpr/MishraPPCKSSF22,
  author       = {Samarth Mishra and
                  Rameswar Panda and
                  Cheng Perng Phoo and
                  Chun{-}Fu Richard Chen and
                  Leonid Karlinsky and
                  Kate Saenko and
                  Venkatesh Saligrama and
                  Rog{\'{e}}rio Schmidt Feris},
  title        = {Task2Sim: Towards Effective Pre-training and Transfer from Synthetic
                  Data},
  booktitle    = {{IEEE/CVF} Conference on Computer Vision and Pattern Recognition,
                  {CVPR} 2022, New Orleans, LA, USA, June 18-24, 2022},
  pages        = {9184--9194},
  year         = {2022},
  crossref     = {DBLP:conf/cvpr/2022},
  url          = {https://doi.org/10.1109/CVPR52688.2022.00898},
  doi          = {10.1109/CVPR52688.2022.00898},
  timestamp    = {Wed, 05 Oct 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/cvpr/MishraPPCKSSF22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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