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.
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 = {Sun, 04 Aug 2024 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/cvpr/MishraPPCKSSF22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Downloads: 1
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