Learning Deep Features For Discriminative Localization.pdf

1512.04150.pdf
Preview of Learning Deep Features for Discriminative Localization
🔗 Source: arxiv.org
📊 Size: 2.49 MB
📄 Pages: 10 pages
⬇️ Downloads: 45

Summary

Researchers revisit global average pooling in convolutional neural networks (CNNs), finding it enables remarkable localization ability despite being trained on image-level labels. They achieve 37.1% top-5 error for object localization on ILSVRC 2014, close to the 34.2% error of a fully supervised CNN approach. The network can localize discriminative image regions in a single forward-pass for various tasks, including those it wasn't originally trained for.

Description

Researchers revisit global average pooling in convolutional neural networks (CNNs), finding it enables remarkable localization ability despite being trained on...

Technical Information

  • File Format: PDF
  • File Size: 2.49 MB
  • Pages: 10
  • Language: EN
  • Total Downloads: 45
  • Last Updated: 14 hours ago

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