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zisserman-self-supervised.pdf
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🔗 Source: project.inria.fr
📊 Size: 9.06 MB
👤 Author: az
⬇️ Downloads: 445

Summary

1000 categories with 1000 training images and 100k testing images are used. Strong supervision allows features from networks trained on ImageNet to be used for other visual tasks. However, alternatives to strong supervision are sought due to the expense of producing new datasets, supervision-starved areas like medical data, and the availability of vast unlabelled images and videos, with examples including Facebook's one billion daily uploaded images and YouTube's 300 hours of video uploaded every minute.

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Description

1000 categories with 1000 training images and 100k testing images are used.

Technical Information

  • File Format: PDF
  • File Size: 9.06 MB
  • Pages: 122
  • Language: EN
  • Author: az
  • Total Downloads: 445
  • Last Updated: 3 hours ago

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