How Transferable are Video Representations Based on Synthetic Data?. Kim, Y., Mishra, S., Jin, S., Panda, R., Kuehne, H., Karlinsky, L., Saligrama, V., Saenko, K., Oliva, A., & Feris, R. In Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K., & Oh, A., 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.
Paper bibtex @inproceedings{DBLP:conf/nips/KimMJPKKSSOF22,
author = {Yo{-}whan Kim and
Samarth Mishra and
SouYoung Jin and
Rameswar Panda and
Hilde Kuehne and
Leonid Karlinsky and
Venkatesh Saligrama and
Kate Saenko and
Aude Oliva and
Rog{\'{e}}rio Feris},
editor = {Sanmi Koyejo and
S. Mohamed and
A. Agarwal and
Danielle Belgrave and
K. Cho and
A. Oh},
title = {How Transferable are Video Representations Based on Synthetic Data?},
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},
year = {2022},
url = {http://papers.nips.cc/paper\_files/paper/2022/hash/e8507db80464ced5658d16b49bd458b9-Abstract-Datasets\_and\_Benchmarks.html},
timestamp = {Mon, 08 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/nips/KimMJPKKSSOF22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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