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Autor:
Zhong, Howard
Pretraining on massive video datasets has become essential to achieve high action recognition performance on smaller downstream datasets. However, most large-scale video datasets are accompanied with issues related to privacy, ethics, and data protec
Externí odkaz:
https://hdl.handle.net/1721.1/151425
Autor:
Zhong, Howard, Mishra, Samarth, Kim, Donghyun, Jin, SouYoung, Panda, Rameswar, Kuehne, Hilde, Karlinsky, Leonid, Saligrama, Venkatesh, Oliva, Aude, Feris, Rogerio
Pre-training on massive video datasets has become essential to achieve high action recognition performance on smaller downstream datasets. However, most large-scale video datasets contain images of people and hence are accompanied with issues related
Externí odkaz:
http://arxiv.org/abs/2311.06231
Autor:
Zhong, Howard, Hamilton, Mark
Non-Fungible Tokens (NFTs) are non-interchangeable assets, usually digital art, which are stored on the blockchain. Preliminary studies find that female and darker-skinned NFTs are valued less than their male and lighter-skinned counterparts. However
Externí odkaz:
http://arxiv.org/abs/2304.06484
Akademický článek
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