PASS: An ImageNet replacement for self-supervised pretraining without humans
Computer vision has long relied on ImageNet and other large datasets of images sampled from the Internet for pretraining models. However, these datasets have ethical and technical shortcomings, such as containing personal information taken without consent, unclear license usage, biases, and, in some...
| Main Authors: | , , , |
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| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
NeurIPS
2021
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