目标检测

1. requirements

  • Cloud based or device based deployment

2. data collection

3. feature

4. model

2-stage: region proposal and object classification

  • generates a set of potential object bounding boxes

  • takes the proposed regions from the RPN and classifies them into different object categories

1-stage

  • perform both region proposal and object classification in a single step

5. metrics

  • Precision

  • calculated based on IOU threshold

  • AP: avg. across various IOU thresholds

  • mAP: mean of AP over C classes

问答

  • 过杀和漏检：基于遗传算法的帕累托优化

Reference

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