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Raporda.pdf

1902.11097.pdf
Preview of raporda
🔗 Source: arxiv.org
📊 Size: 1.86 MB
👤 Author: Benjamin Wilson, Judy Hoffman, Jamie Morgenstern
⬇️ Downloads: 92

Summary

Researchers investigated state-of-the-art object detection systems for equitable predictive performance on pedestrians with different skin tones, finding uniformly poorer performance on those with Fitzpatrick skin types 4-6. They analyzed the BDD100K dataset, annotated with skin tones, and found that time of day and occlusion did not explain the disparity, suggesting it's not due to more difficult scenes. The study aimed to measure sources of predictive imbalance, including time of day, occlusion, and loss function prioritization, and found that standard object detection systems have higher predictive accuracy for pedestrians with lower Fitzpatrick skin types, potentially due to biased data and loss functions prioritizing accuracy on the larger subset of data.

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Description

Researchers investigated state-of-the-art object detection systems for equitable predictive performance on pedestrians with different skin tones, finding...

Technical Information

  • File Format: PDF
  • File Size: 1.86 MB
  • Pages: 13
  • Language: EN
  • Author: Benjamin Wilson, Judy Hoffman, Jamie Morgenstern
  • Total Downloads: 92
  • Last Updated: 6 days ago

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