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Research Paper.pdf

1506.04878.pdf
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🔗 Source: arxiv.org
📊 Size: 5.56 MB
📄 Pages: 9 pages
⬇️ Downloads: 44

Summary

The authors propose a model for end-to-end people detection in crowded scenes, which takes an image as input and directly outputs a set of distinct detection hypotheses. The system uses a recurrent LSTM layer for sequence generation and is trained end-to-end with a new loss function that operates on sets of detections. This approach avoids common post-processing steps such as non-maximum suppression and demonstrates effectiveness on the challenging task of detecting people in crowded scenes.

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The authors propose a model for end-to-end people detection in crowded scenes, which takes an image as input and directly outputs a set of distinct detection...

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  • File Format: PDF
  • File Size: 5.56 MB
  • Pages: 9
  • Language: EN
  • Total Downloads: 44
  • Last Updated: 1 week ago

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